technology:artificial intelligence

  • #CBP terminates controversial $297 million #Accenture contract amid continued staffing struggles

    #Customs_and_Border_Protection on Thursday ended its controversial $297 million hiring contract with Accenture, according to two senior DHS officials and an Accenture representative.
    As of December, when CBP terminated part of its contract, the company had only completed processing 58 applicants and only 22 had made it onto the payroll about a year after the company was hired.
    At the time, the 3,500 applicants that remained in the Accenture hiring pipeline were transferred to CBP’s own hiring center to complete the process.

    CBP cut ties with Accenture on processing applicants a few months ago, it retained some services, including marketing, advertising and applicant support.
    This week, the entire contract was terminated for “convenience,” government speak for agreeing to part ways without placing blame on Accenture.
    While government hiring is “slow and onerous, it’s also part of being in the government” and that’s “something we have to accept and deal with as we go forward,” said one of the officials.
    For its efforts, CBP paid Accenture around $19 million in start-up costs, and around $2 million for 58 people who got job offers, according to the officials.
    Over the last couple of months, CBP explored how to modify the contract, but ultimately decided to completely stop work and return any remaining funds to taxpayers.
    But it’s unclear how much money, if any, that will be.

    In addition, to the funds already paid to Accenture, CBP has around $39 million left to “settle and close the books” with the company, an amount which has yet to be determined.
    In November 2017, CBP awarded Accenture the contract to help meet the hiring demands of an executive order on border security that President Donald Trump signed during his first week in office. The administration directed CBP to hire an additional 7,500 agents and officers on top of its current hiring goals.
    “We were in a situation where we needed to try something new” and “break the cycle of going backwards,” said a DHS official about why the agency started the contract.

    Meanwhile, hiring remains difficult for the agency amid a surge of migrants at the southern border that is stretching CBP resources thin.
    It “continues to be a very challenging environment,” said one official about hiring efforts this year.

    In fact, one of the reasons that CBP didn’t need Accenture to process applicants, is because the agency didn’t receive as many applications as it initially planned for.
    The agency has been focused on beating attrition and has been able to recently “beat it by a modest amount,” said the official. “Ultimately we would like to beat it by a heck of a lot, but we’re not there yet.”

    https://edition.cnn.com/2019/04/05/politics/cbp-terminate-hiring-contract-accenture/index.html
    #frontières #contrôles_frontaliers #USA #Ests-Unis #complexe_militaro-industriel #business

    • Border Profiteers

      On a recent sunny spring afternoon in Texas, a couple hundred Border Patrol agents, Homeland Security officials, and salespeople from a wide array of defense and security contractors gathered at the Bandera Gun Club about an hour northwest of San Antonio to eat barbecue and shoot each other’s guns. The techies wore flip-flops; the veterans wore combat boots. Everyone had a good time. They were letting loose, having spent the last forty-eight hours cooped up in suits and ties back at San Antonio’s Henry B. Gonzalez convention center, mingling and schmoozing, hawking their wares, and listening to immigration officials rail about how those serving in enforcement agencies are not, under any circumstances, Nazis.

      These profiteers and bureaucrats of the immigration-industrial complex were fresh from the 2019 #Border_Security_Expo —essentially a trade show for state violence, where law enforcement officers and weapons manufacturers gather, per the Expo’s marketing materials, to “identify and address new and emerging border challenges and opportunities through technology, partnership, and innovation.” The previous two days of panels, speeches, and presentations had been informative, a major in the Argentine Special Forces told me at the gun range, but boring. He was glad to be outside, where handguns popped and automatic rifles spat around us. I emptied a pistol into a target while a man in a Three Percenter militia baseball hat told me that I was a “natural-born killer.” A drone buzzed overhead until, in a demonstration of a company’s new anti-drone technology, a device that looked like a rocket launcher and fired a sort of exploding net took it down. “This is music to me,” the Argentine major said.

      Perhaps it’s not surprising the Border Security Expo attendees were so eager to blow off steam. This year’s event found many of them in a defensive posture, given the waves of bad press they’d endured since President Trump’s inauguration, and especially since the disastrous implementation of his family separation policy, officially announced by former Attorney General Jeff Sessions in April of 2018, before being rescinded by Trump two-and-a-half months later. Throughout the Expo, in public events and in background roundtable conversations with reporters, officials from the various component parts of the Department of Homeland Security rolled out a series of carefully rehearsed talking points: Immigrations and Customs Enforcement (ICE) and Customs and Border Patrol (CBP) need more money, personnel, and technology; taking migrants to hospitals distracts CBP officers from their real mission; and the 1997 Flores court settlement, which prohibits immigration enforcement agencies from detaining migrant families with children for more than twenty days, is undermining the very sovereignty of the United States. “We want a secure border, we want an immigration system that has integrity,” Ronald Vitiello, then–acting head of ICE, said in a keynote address to the hundreds of people gathered in San Antonio. “We have a generous immigration system in this country, but it has to have integrity in order for us to continue to be so generous.”

      More of a technocrat than his thuggish predecessor Thomas Homan, Vitiello also spoke at length about using the “dark web” to take down smugglers and the importance of having the most up-to-date data-management technology. But he spoke most adamantly about needing “a fix” for the Flores settlement. “If you prosecute crimes and you give people consequences, you get less of it,” he said. “With Flores, there’s no consequence, and everybody knows that,” a senior ICE official echoed to reporters during a background conversation immediately following Vitiello’s keynote remarks. “That’s why you’re seeing so many family units. We cannot apply a consequence to a family unit, because we have to release them.”

      Meanwhile, around 550 miles to the west, in El Paso, hundreds of migrants, including children and families, were being held by CBP under a bridge, reportedly forced to sleep on the ground, with inadequate medical attention. “They treated us like we are animals,” one Honduran man told Texas Monthly. “I felt what they were trying to do was to hurt us psychologically, so we would understand that this is a lesson we were being taught, that we shouldn’t have crossed.” Less than a week after the holding pen beneath the bridge closed, Vitiello’s nomination to run ICE would be pulled amid a spate of firings across DHS; President Trump wanted to go “in a tougher direction.”

      Family Values

      On the second day of the Border Security Expo, in a speech over catered lunch, Scott Luck, deputy chief of Customs and Border Protection and a career Border Patrol agent, lamented that the influx of children and families at the border meant that resources were being diverted from traditional enforcement practices. “Every day, about 150 agents spend their shifts at hospitals and medical facilities with illegal aliens receiving treatment,” he said. “The annual salary cost for agents on hospital watch is more than $11.5 million. Budget analysts estimate that 13 percent of our operational budget—the budget that we use to buy equipment, to buy vehicles for our men and women—is now used for transportation, medical expenses, diapers, food, and other necessities to care for illegal aliens in Border Patrol custody.”

      As far as Luck was concerned, every dollar spent on food and diapers is one not spent on drones and weapons, and every hour an agent spends guarding a migrant in a hospital is an hour they don’t spend on the border. “It’s not what they signed up for. The mission they signed up for is to protect the United States border, to protect the communities in which they live and serve,” he told reporters after his speech. “The influx, the volume, the clutter that this creates is frustrating.” Vitiello applied an Orwellian inversion: “We’re not helping them as fast as we want to,” he said of migrant families apprehended at the border.

      Even when discussing the intimate needs of detained migrant families, the language border officials used to describe their remit throughout the Expo was explicitly militaristic: achieving “operational control,” Luck said, requires “impedance and denial” and “situational awareness.” He referred to technology as a “vital force multiplier.” He at least stopped short of endorsing the president’s framing that what is happening on the border constitutes an invasion, instead describing it as a “deluge.”

      According to the Migration Policy Institute, a non-partisan think tank, the U.S. immigrant population has continued to grow—although at a slower rate than it did before the 2007 recession, and undocumented people appear to make up a smaller proportion of the overall population. Regardless, in fiscal year 2018, both ICE and CBP stepped up their enforcement activities, arresting, apprehending, and deporting people at significantly higher rates than the previous year. More than three times as many family members were apprehended at the border last year than in 2017, the Pew Research Center reports, and in the first six months of FY 2019 alone there were 189,584 apprehensions of “family units”: more than half of all apprehensions at the border during that time, and more than the full-year total of apprehended families for any other year on record. While the overall numbers have not yet begun to approach those of the 1980s and 1990s, when apprehensions regularly exceeded one million per year, the demographics of who is arriving at the United States southern border are changing: fewer single men from Mexico and more children and families from Guatemala, Honduras, and El Salvador—in other words, an ever-wider range of desperate victims of drug gangs and American policies that have long supported corrupt regimes.

      This change has presented people like Luck with problems they insist are merely logistical: aging Border Patrol stations, he told us at the Expo, “are not luxurious in any way, and they were never intended to handle families and children.” The solution, according to Vitiello, is “continued capital investment” in those facilities, as well as the cars and trucks necessary to patrol the border region and transport those apprehended from CBP custody to ICE detention centers, the IT necessary to sift through vast amounts of data accumulated through untold surveillance methods, and all of “the systems by which we do our work.”

      Neither Vitiello nor Luck would consider whether those systems—wherein thousands of children, ostensibly under the federal government’s care, have been sexually abused and five, from December through May of this year, have died—ought to be questioned. Both laughed off calls from migrant justice organizers, activists, and politicians to abolish ICE. “The concept of the Department of Homeland Security—and ICE as an agency within it—was designed for us to learn the lessons from 9/11,” Vitiello said. “Those needs still exist in this society. We’re gonna do our part.” DHS officials have even considered holding migrant children at Guantánamo Bay, Cuba, according to the New York Times, where a new $23 million “contingency mass migration complex” is being built. The complex, which is to be completed by the end of the year, will have a capacity of thirteen thousand.

      Violence is the Point

      The existence of ICE may be a consequence of 9/11, but the first sections of fencing along the U.S.-Mexico border—originally to contain livestock—went up in 1909 through 1911. In 1945, in response to a shift in border crossings from Texas to California, the U.S. Border Patrol and the Immigration and Naturalization Service recycled fencing wire and posts from internment camps in Crystal City, Texas, where more than a hundred thousand Japanese Americans had been imprisoned during World War II. “Although the INS could not erect a continuous line of fence along the border, they hoped that strategic placement of the fence would ‘compel persons seeking to enter the United States illegally to attempt to go around the ends of the fence,’” historian Kelly Lytle Hernández, quoting from government documents, writes in Migra! A History of the U.S. Border Patrol. “What lay at the end of the fences and canals were desert lands and mountains extremely dangerous to cross without guidance or sufficient water. The fences, therefore, discouraged illegal immigration by exposing undocumented border crossers to the dangers of daytime dehydration and nighttime hypothermia.”

      Apprehension and deportation tactics continued to escalate in the years following World War II—including Operation Wetback, the infamous (and heavily propagandized) mass-deportation campaign of 1954—but the modern, militarized border era was greatly boosted by Bill Clinton. It was during Clinton’s first administration that Border Patrol released its “Strategic Plan: 1994 and Beyond,” which introduced the idea of “prevention through deterrence,” a theory of border policing that built on the logic of the original wall and hinges upon increasing the “cost” of migration “to the point that many will consider it futile to continue to attempt illegal entry.” With the Strategic Plan, the agency was requesting more money, officers, and equipment in order to “enhance national security and safeguard our immigration heritage.”

      The plan also noted that “a strong interior enforcement posture works well for border control,” and in 1996, amid a flurry of legislation targeting people of color and the poor, Congress passed the Illegal Immigration Reform and Immigrant Responsibility Act, which empowered the federal government to deport more people more quickly and made it nearly impossible for undocumented immigrants to obtain legal status. “Before 1996, internal enforcement activities had not played a very significant role in immigration enforcement,” the sociologists Douglas Massey and Karen A. Pren wrote in 2012. “Afterward these activities rose to levels not seen since the deportation campaigns of the Great Depression.” With the passage of the Patriot Act in 2001 and the creation of the Department of Homeland Security and Immigration and Customs Enforcement in 2002, immigration was further securitized and criminalized, paving the way for an explosion in border policing technology that has further aligned the state with the defense and security industry. And at least one of Border Patrol’s “key assumptions,” explicitly stated in the 1994 strategy document, has borne out: “Violence will increase as effects of strategy are felt.”

      What this phrasing obscures, however, is that violence is the border strategy. In practice, what “prevention through deterrence” has meant is forcing migrants to cross the U.S.-Mexico border in the desert, putting already vulnerable people at even greater risk. Closing urban points of entry, for example, or making asylum-seekers wait indefinitely in Mexico while their claims are processed, pushes migrants into remote areas where there is a higher likelihood they will suffer injury and death, as in the case of seven-year-old Jakil Caal Maquin, who died of dehydration and shock after being taken into CBP custody in December. (A spokesperson for CBP, in an email response, deflected questions about whether the agency considers children dying in its custody a deterrent.) Maquin is one of many thousands who have died attempting to cross into the United States: the most conservative estimate comes from CBP itself, which has recovered the remains of 7,505 people from its southwest border sectors between 1998 and 2018. This figure accounts for neither those who die on the Mexican side of the border, nor those whose bodies remain lost to the desert.

      Draconian immigration policing causes migrants to resort to smugglers and traffickers, creating the conditions for their exploitation by cartels and other violent actors and increasing the likelihood that they will be kidnapped, coerced, or extorted. As a result, some migrants have sought the safety of collective action in the form of the “caravan” or “exodus,” which has then led the U.S. media and immigration enforcement agencies to justify further militarization of the border. Indeed, in his keynote address at the Expo, Luck described “the emerging prevalence of large groups of one hundred people or more” as “troubling and especially dangerous.” Later, a sales representative for the gun manufacturer Glock very confidently explained to me that this was because agents of al-Shabaab, the al-Qaeda affiliate in Somalia, were embedded with the caravans.

      Branding the Border

      Unsurprisingly, caravans came up frequently at the Border Security Expo. (An ICE spokesperson would later decline to explain what specific threat they pose to national security, instead citing general statistics about the terrorist watchlist, “special interest aliens,” and “suspicious travel patterns.”) During his own keynote speech, Vitiello described how ICE, and specifically its subcomponent Homeland Security Investigations, had deployed surveillance and intelligence-gathering techniques to monitor the progress of caravans toward the border. “When these caravans have come, we’ve had trained, vetted individuals on the ground in those countries reporting in real time what they were seeing: who the organizers were, how they were being funded,” he said, before going on an astonishing tangent:

      That’s the kind of capability that also does amazing things to protecting brands, property rights, economic security. Think about it. If you start a company, introduce a product that’s innovative, there are people in the world who can take that, deconstruct it, and create their own version of it and sell it as yours. All the sweat that went into whatever that product was, to build your brand, they’ll take it away and slap it on some substandard product. It’s not good for consumers, it’s not good for public safety, and it’s certainly an economic drain on the country. That’s part of the mission.

      That the then–acting director of ICE, the germ-cell of fascism in the bourgeois American state, would admit that an important part of his agency’s mission is the protection of private property is a testament to the Trump administration’s commitment to saying the quiet part out loud.

      In fact, brands and private industry had pride of place at the Border Security Expo. A memorial ceremony for men and women of Border Patrol who have been killed in the line of duty was sponsored by Sava Solutions, an IT firm that has been awarded at least $482 million in federal contracts since 2008. Sava, whose president spent twenty-four years with the DEA and whose director of business development spent twenty with the FBI, was just one of the scores of firms in attendance at the Expo, each hoping to persuade the bureaucrats in charge of acquiring new gear for border security agencies that their drones, their facial recognition technology, their “smart” fences were the best of the bunch. Corporate sponsors included familiar names like Verizon and Motorola, and other less well-known ones, like Elbit Systems of America, a subsidiary of Israel’s largest private defense contractor, as well as a handful of IT firms with aggressive slogans like “Ever Vigilant” (CACI), “Securing the Future” (ManTech), and “Securing Your Tomorrow” (Unisys).

      The presence of these firms—and indeed the very existence of the Expo—underscores an important truth that anyone attempting to understand immigration politics must reckon with: border security is big business. The “homeland security and emergency management market,” driven by “increasing terrorist threats and biohazard attacks and occurrence of unpredictable natural disasters,” is projected to grow to more than $742 billion by 2023 from $557 billion in 2018, one financial analysis has found. In the coming decades, as more people are displaced by climate catastrophe and economic crises—estimates vary between 150 million and 1 billion by 2050—the industry dedicated to policing the vulnerable stands to profit enormously. By 2013, the United States was already spending more on federal immigration enforcement than all other federal law enforcement agencies combined, including the FBI and DEA; ICE’s budget has doubled since its inception in 2003, while CBP’s has nearly tripled. Between 1993 and 2018, the number of Border Patrol agents grew from 4,139 to 19,555. And year after year, Democrats and Republicans alike have been happy to fuel an ever more high-tech deportation machine. “Congress has given us a lot of money in technology,” Luck told reporters after his keynote speech. “They’ve given us over what we’ve asked for in technology!”

      “As all of this rhetoric around security has increased, so has the impetus to give them more weapons and more tools and more gadgets,” Jacinta Gonzalez, a senior campaign organizer with Mijente, a national network of migrant justice activists, told me. “That’s also where the profiteering comes in.” She continued: “Industries understand what’s good for business and adapt themselves to what they see is happening. If they see an administration coming into power that is pro-militarization, anti-immigrant, pro-police, anti-communities of color, then that’s going to shape where they put their money.”

      By way of example, Gonzalez pointed to Silicon Valley billionaire Peter Thiel, who spent $1.25 million supporting Trump’s 2016 election campaign and followed that up last year by donating $1 million to the Club for Growth—a far-right libertarian organization founded by Heritage Foundation fellow and one-time Federal Reserve Board prospect Stephen Moore—as well as about $350,000 to the Republican National Committee and other GOP groups. ICE has awarded Palantir, the $20 billion surveillance firm founded by Thiel, several contracts worth tens of millions of dollars to manage its data streams—a partnership the agency considers “mission critical,” according to documents reviewed by The Intercept. Palantir, in turn, runs on Amazon Web Services, the cloud computing service provided by the world’s most valuable public company, which is itself a key contractor in managing the Department of Homeland Security’s $6.8 billion IT portfolio.

      Meanwhile, former DHS secretary John Kelly, who was Trump’s chief of staff when the administration enacted its “zero-tolerance” border policy, has joined the board of Caliburn International—parent organization of the only for-profit company operating shelters for migrant children. “Border enforcement and immigration policy,” Caliburn reported in an SEC filing last year, “is driving significant growth.” As Harsha Walia writes in Undoing Border Imperialism, “the state and capitalism are again in mutual alliance.”

      Triumph of the Techno-Nativists

      At one point during the Expo, between speeches, I stopped by a booth for Network Integrity Systems, a security firm that had set up a demonstration of its Sentinel™ Perimeter Intrusion Detection System. A sales representative stuck out his hand and introduced himself, eager to explain how his employer’s fiber optic motion sensors could be used at the border, or—he paused to correct himself—“any kind of perimeter.” He invited me to step inside the space that his coworkers had built, starting to say “cage” but then correcting himself, again, to say “small enclosure.” (It was literally a cage.) If I could get out, climbing over the fencing, without triggering the alarm, I would win a $500 Amazon gift card. I did not succeed.

      Overwhelmingly, the vendors in attendance at the Expo were there to promote this kind of technology: not concrete and steel, but motion sensors, high-powered cameras, and drones. Customs and Border Patrol’s chief operating officer John Sanders—whose biography on the CBP website describes him as a “seasoned entrepreneur and innovator” who has “served on the Board of Directors for several leading providers of contraband detection, geospatial intelligence, and data analytics solutions”—concluded his address by bestowing on CBP the highest compliment he could muster: declaring the agency comparable “to any start-up.” Rhetoric like Sanders’s, ubiquitous at the Expo, renders the border both bureaucratic and boring: a problem to be solved with some algorithmic mixture of brutality and Big Data. The future of border security, as shaped by the material interests that benefit from border securitization, is not a wall of the sort imagined by President Trump, but a “smart” wall.

      High-ranking Democrats—leaders in the second party of capital—and Republicans from the border region have championed this compromise. During the 2018-2019 government shutdown, House Homeland Security Committee Chairman Bennie Thompson told reporters that Democrats would appropriate $5.7 billion for “border security,” so long as that did not include a wall of Trump’s description. “Walls are primitive. What we need to do is have border security,” House Majority Whip Jim Clyburn said in January. He later expanded to CNN: “I’ve said that we ought to have a smart wall. I defined that as a wall using drones to make it too high to get over, using x-ray equipment to make it too wide to get around, and using scanners to go deep enough not to be able to tunnel under it. To me, that would be a smart thing to do.”

      Even the social democratic vision of Senator Bernie Sanders stops short at the border. “If you open the borders, my God, there’s a lot of poverty in this world, and you’re going to have people from all over the world,” he told Iowa voters in early April, “and I don’t think that’s something that we can do at this point.” Over a week later, during a Fox News town hall with Pennsylvania voters, he recommitted: “We need border security. Of course we do. Who argues with that? That goes without saying.”

      To the extent that Trump’s rhetoric, his administration’s immigration policies, and the enforcement agencies’ practices have made the “border crisis” more visible than ever before, they’ve done so on terms that most Democrats and liberals fundamentally agree with: immigration must be controlled and policed; the border must be enforced. One need look no further than the high priest of sensible centrism, Thomas Friedman, whose major complaint about Trump’s immigration politics is that he is “wasting” the crisis—an allusion to Rahm Emanuel’s now-clichéd remark that “you never want a serious crisis to go to waste.” (Frequently stripped of context, it is worth remembering that Emanuel made this comment in the throes of the 2008 financial meltdown, at the Wall Street Journal’s CEO Council, shortly following President Obama’s election.) “Regarding the border, the right place for Democrats to be is for a high wall with a big gate,” Friedman wrote in November of 2018. A few months later, a tour led by Border Patrol agents of the San Ysidro port of entry in San Diego left Friedman “more certain than ever that we have a real immigration crisis and that the solution is a high wall with a big gate—but a smart gate.”

      As reasonable as this might sound to anxious New York Times readers looking for what passes as humanitarian thinking in James Bennet’s opinion pages, the horror of Friedman’s logic eventually reveals itself when he considers who might pass through the big, smart gate in the high, high wall: “those who deserve asylum” and “a steady flow of legal, high-energy, and high-I.Q. immigrants.” Friedman’s tortured hypothetical shows us who he considers to be acceptable subjects of deportation and deprivation: the poor, the lazy, and the stupid. This is corporate-sponsored, state-sanctioned eugenics: the nativism of technocrats.

      The vision of a hermetically sealed border being sold, in different ways, by Trump and his allies, by Democrats, and by the Border Security Expo is in reality a selectively permeable one that strictly regulates the movement of migrant labor while allowing for the unimpeded flow of capital. Immigrants in the United States, regardless of their legal status, are caught between two factions of the capitalist class, each of which seek their immiseration: the citrus farmers, construction firms, and meat packing plants that benefit from an underclass of unorganized and impoverished workers, and the defense and security firms that keep them in a state of constant criminality and deportability.

      You could even argue that nobody in a position of power really wants a literal wall. Even before taking office, Trump himself knew he could only go so far. “We’re going to do a wall,” he said on the campaign trail in 2015. However: “We’re going to have a big, fat beautiful door on the wall.” In January 2019, speaking to the American Farm Bureau Association, Trump acknowledged the necessity of a mechanism allowing seasonal farmworkers from Mexico to cross the border, actually promising to loosen regulations on employers who rely on temporary migrant labor. “It’s going to be easier for them to get in than what they have to go through now,” he said, “I know a lot about the farming world.”

      At bottom, there is little material difference between this and what Friedman imagines to be the smarter, more humane approach. While establishment liberals would no doubt prefer that immigration enforcement be undertaken quietly, quickly, and efficiently, they have no categorical objection to the idea that noncitizens should enjoy fewer rights than citizens or be subject to different standards of due process (standards that are already applied in deeply inequitable fashion).

      As the smorgasbord of technologies and services so garishly on display at the Border Security Expo attests, maintaining the contradiction between citizens and noncitizens (or between the imperial core and the colonized periphery) requires an ever-expanding security apparatus, which itself becomes a source of ever-expanding profit. The border, shaped by centuries of bourgeois interests and the genocidal machinations of the settler-colonial nation-state, constantly generates fresh crises on which the immigration-industrial complex feeds. In other words, there is not a crisis at the border; the border is the crisis.

      CBP has recently allowed Anduril, a start-up founded by one of Peter Thiel’s mentees, Palmer Luckey, to begin testing its artificial intelligence-powered surveillance towers and drones in Texas and California. Sam Ecker, an Anduril engineer, expounded on the benefits of such technology at the Expo. “A tower doesn’t get tired. It doesn’t care about being in the middle of the desert or a river around the clock,” he told me. “We just let the computers do what they do best.”

      https://thebaffler.com/outbursts/border-profiteers-oconnor

  • How to Use Artificial Intelligence to Build a Stronger Business Network
    https://hackernoon.com/how-to-use-artificial-intelligence-to-build-a-stronger-business-network-

    A strong business network has always been essential for entrepreneurial success.Image sourceWhile some may argue that social media and other tech has made our society less connected on a personal level than in the past, studies have actually found that social media doesn’t decrease someone’s likelihood of participating in face-to-face interactions with their peers.For many people — myself included — social media serves as a helpful supplement to real-life relationships. In many ways the same is true of the relationship between #ai and business networks. Tech is allowing people to do more with their relationships than was possible in the past.Artificial intelligence can do much more than change our media landscape or automate certain business tasks; it could also be the key to unlocking the full (...)

    #business-networking #artificial-intelligence #networking #professional-development

  • The Numbers Game: How an MIT PhD Pivoted His Way Into a $2 Million Seed Round
    https://hackernoon.com/the-numbers-game-how-an-mit-phd-pivoted-his-way-into-a-2-million-seed-ro

    Jameson Toole’s investors for his first company, Wherehouse Inc., must have been surprised to see him again only three months later with a pitch for an entirely new venture, Fritz.But Jameson’s quick pivot didn’t stop him from quickly raising $2 million for Fritz. In fact, Jameson thinks his experience with Wherehouse, and the small but dedicated team he built there, helped him raise money for his new startup.On an episode of the “How I Raised It” podcast, I asked Jameson to share a few insights into what led him to pivot and how he was able to secure funding for two consecutive companies without getting his wires crossed.So what is Fritz, and why did you start this company?Fritz helps developers put machine learning or artificial intelligence models into their mobile apps. We’re seeing all of (...)

    #angel-investors #startup #venture-capital #entrepreneurship #artificial-intelligence

  • UK businesses using artificial intelligence to monitor staff activity
    https://www.theguardian.com/technology/2019/apr/07/uk-businesses-using-artifical-intelligence-to-monitor-staff-activity

    Unions warn systems such as Isaak may increase pressure on workers and cause distrust Dozens of UK business owners are using artificial intelligence to scrutinise staff behaviour minute-to-minute by harvesting data on who emails whom and when, who accesses and edits files and who meets whom and when. The actions of 130,000 people in the UK and abroad are being monitored in real time by the Isaak system, which ranks staff members’ attributes. Designed by a London company, Status Today, it (...)

    #algorithme #biométrie #travail #géolocalisation #facial #travailleurs #surveillance #Isaak (...)

    ##TUC
    https://i.guim.co.uk/img/media/2d9b1b0a86501cd5e0415a42429b12b0ec82edce/0_173_5184_3110/master/5184.jpg

  • 10 Top Industries To Be Transformed By Artificial Intelligence, Soon
    https://hackernoon.com/10-top-industries-to-be-transformed-by-artificial-intelligence-soon-4eb8

    Artificial intelligence has revolutionized the way people work today. From streamlining business operations to better decision-making process, it has shown its real potential across different industries.According to a study by PWC, the global GDP is going to be 14% increased in 2030 that will result in higher AI adoption. Thus, it will contribute an additional $15.7 trillion to the whole economy.In this blog, we will discuss some of the top industries that will be revolutionized by Artificial Intelligence.Check out the list below.1) Manufacturing IndustryThis tech has unlimited potential in the world of manufacturing. From preventive maintenance to the human tasks automation, AI will allow a more efficient work that will be much error free and has higher quality. The initiatives of (...)

    #artificial-intelligence #product-development #app-development #machine-learning #software-development

  • What To Expect With The Future Of #ai Technology
    https://hackernoon.com/what-to-expect-with-the-future-of-ai-technology-782aec311a54?source=rss-

    There are many new technological innovations that are changing how we live our lives, but artificial intelligence, or AI, may present the most exciting changes. While AI has been around for a while now, recent improvements have made the technology much more adaptable. Looking into the future, it’s easy to predict a world in which artificial intelligence plays a more significant role in our daily lives.The Most Promising AI Innovations on the HorizonIn general, artificial intelligence is going to change almost every aspect of daily life. While we will look for ways to make use of it in the home, AI will also be adopted by local and state governments, as well as by the business sector. Before long, there will be few things unaffected by AI technology.Getting Around with AISelf-driving cars (...)

    #artificial-intelligence #machine-learning #future-of-technology #ai-technology

  • YouTube Executives Ignored Warnings, Let Toxic Videos Run Rampant - Bloomberg
    https://www.bloomberg.com/news/features/2019-04-02/youtube-executives-ignored-warnings-letting-toxic-videos-run-rampant

    Wojcicki’s media behemoth, bent on overtaking television, is estimated to rake in sales of more than $16 billion a year. But on that day, Wojcicki compared her video site to a different kind of institution. “We’re really more like a library,” she said, staking out a familiar position as a defender of free speech. “There have always been controversies, if you look back at libraries.”

    Since Wojcicki took the stage, prominent conspiracy theories on the platform—including one on child vaccinations; another tying Hillary Clinton to a Satanic cult—have drawn the ire of lawmakers eager to regulate technology companies. And YouTube is, a year later, even more associated with the darker parts of the web.

    The conundrum isn’t just that videos questioning the moon landing or the efficacy of vaccines are on YouTube. The massive “library,” generated by users with little editorial oversight, is bound to have untrue nonsense. Instead, YouTube’s problem is that it allows the nonsense to flourish. And, in some cases, through its powerful artificial intelligence system, it even provides the fuel that lets it spread.

    Mais justement NON ! Ce ne peut être une “bibliothèque”, car une bibliothèque ne conserve que des documents qui ont été publiés, donc avec déjà une première instance de validation (ou en tout cas de responsabilité éditoriale... quelqu’un ira en procès le cas échéant).

    YouTube est... YouTube, quelque chose de spécial à internet, qui remplit une fonction majeure... et également un danger pour la pensée en raison de “l’économie de l’attention”.

    The company spent years chasing one business goal above others: “Engagement,” a measure of the views, time spent and interactions with online videos. Conversations with over twenty people who work at, or recently left, YouTube reveal a corporate leadership unable or unwilling to act on these internal alarms for fear of throttling engagement.

    In response to criticism about prioritizing growth over safety, Facebook Inc. has proposed a dramatic shift in its core product. YouTube still has struggled to explain any new corporate vision to the public and investors – and sometimes, to its own staff. Five senior personnel who left YouTube and Google in the last two years privately cited the platform’s inability to tame extreme, disturbing videos as the reason for their departure. Within Google, YouTube’s inability to fix its problems has remained a major gripe. Google shares slipped in late morning trading in New York on Tuesday, leaving them up 15 percent so far this year. Facebook stock has jumped more than 30 percent in 2019, after getting hammered last year.

    YouTube’s inertia was illuminated again after a deadly measles outbreak drew public attention to vaccinations conspiracies on social media several weeks ago. New data from Moonshot CVE, a London-based firm that studies extremism, found that fewer than twenty YouTube channels that have spread these lies reached over 170 million viewers, many who were then recommended other videos laden with conspiracy theories.

    So YouTube, then run by Google veteran Salar Kamangar, set a company-wide objective to reach one billion hours of viewing a day, and rewrote its recommendation engine to maximize for that goal. When Wojcicki took over, in 2014, YouTube was a third of the way to the goal, she recalled in investor John Doerr’s 2018 book Measure What Matters.

    “They thought it would break the internet! But it seemed to me that such a clear and measurable objective would energize people, and I cheered them on,” Wojcicki told Doerr. “The billion hours of daily watch time gave our tech people a North Star.” By October, 2016, YouTube hit its goal.

    YouTube doesn’t give an exact recipe for virality. But in the race to one billion hours, a formula emerged: Outrage equals attention. It’s one that people on the political fringes have easily exploited, said Brittan Heller, a fellow at Harvard University’s Carr Center. “They don’t know how the algorithm works,” she said. “But they do know that the more outrageous the content is, the more views.”

    People inside YouTube knew about this dynamic. Over the years, there were many tortured debates about what to do with troublesome videos—those that don’t violate its content policies and so remain on the site. Some software engineers have nicknamed the problem “bad virality.”

    Yonatan Zunger, a privacy engineer at Google, recalled a suggestion he made to YouTube staff before he left the company in 2016. He proposed a third tier: Videos that were allowed to stay on YouTube, but, because they were “close to the line” of the takedown policy, would be removed from recommendations. “Bad actors quickly get very good at understanding where the bright lines are and skating as close to those lines as possible,” Zunger said.

    His proposal, which went to the head of YouTube policy, was turned down. “I can say with a lot of confidence that they were deeply wrong,” he said.

    Rather than revamp its recommendation engine, YouTube doubled down. The neural network described in the 2016 research went into effect in YouTube recommendations starting in 2015. By the measures available, it has achieved its goal of keeping people on YouTube.

    “It’s an addiction engine,” said Francis Irving, a computer scientist who has written critically about YouTube’s AI system.

    Wojcicki and her lieutenants drew up a plan. YouTube called it Project Bean or, at times, “Boil The Ocean,” to indicate the enormity of the task. (Sometimes they called it BTO3 – a third dramatic overhaul for YouTube, after initiatives to boost mobile viewing and subscriptions.) The plan was to rewrite YouTube’s entire business model, according to three former senior staffers who worked on it.

    It centered on a way to pay creators that isn’t based on the ads their videos hosted. Instead, YouTube would pay on engagement—how many viewers watched a video and how long they watched. A special algorithm would pool incoming cash, then divvy it out to creators, even if no ads ran on their videos. The idea was to reward video stars shorted by the system, such as those making sex education and music videos, which marquee advertisers found too risqué to endorse.

    Coders at YouTube labored for at least a year to make the project workable. But company managers failed to appreciate how the project could backfire: paying based on engagement risked making its “bad virality” problem worse since it could have rewarded videos that achieved popularity achieved by outrage. One person involved said that the algorithms for doling out payments were tightly guarded. If it went into effect then, this person said, it’s likely that someone like Alex Jones—the Infowars creator and conspiracy theorist with a huge following on the site, before YouTube booted him last August—would have suddenly become one of the highest paid YouTube stars.

    In February of 2018, the video calling the Parkland shooting victims “crisis actors” went viral on YouTube’s trending page. Policy staff suggested soon after limiting recommendations on the page to vetted news sources. YouTube management rejected the proposal, according to a person with knowledge of the event. The person didn’t know the reasoning behind the rejection, but noted that YouTube was then intent on accelerating its viewing time for videos related to news.

    #YouTube #Economie_attention #Engagement #Viralité

  • How #ai Is Transforming The Future Of #healthcare Industry
    https://hackernoon.com/how-ai-is-transforming-the-future-of-healthcare-industry-f6020cc18323?so

    The power of Artificial Intelligence is echoing across many industries. But its impact on healthcare is truly life-changing. With its ability to mimic human cognitive functions, AI is bringing a paradigm shift in the healthcare industry.This transformative technology is revolutionizing the health sectors in many ways. From drug development to clinical research, AI has helped improve patient outcomes at reduced costs. Besides, the introduction of this technology in healthcare promises easy access, affordability, and effectiveness.For the same reasons, there has been a huge investment by public and private sectors in the healthcare industry. According to a study, the investment will reach $6.6 billion by 2021. Accenture’s reports are even more astonishing. According to their analysis, AI (...)

    #big-data #artificial-intelligence #ai-and-health

  • Google employees call for removal of rightwing thinktank leader from AI council
    https://www.theguardian.com/technology/2019/apr/01/google-kay-coles-james-removal-employees-letter

    Staffers criticized the appointment of Heritage Foundation president Kay Coles James in a letter published on Monday A group of Google employees have called for the removal of a rightwing thinktank leader from the company’s new artificial intelligence council, citing her anti-LGBT and anti-immigrant record. Employees published a letter on Monday criticizing the appointment of Kay Coles James, the president of the Heritage Foundation, to Google’s newly formed advisory council for “the (...)

    #Google #HeritageFoundation #GoogleSearch #algorithme #Dragonfly #drone #éthique #censure #migration #LGBT #ProjectMaven (...)

    ##travail
    https://i.guim.co.uk/img/media/0bbbd5584385eba24f16d9e96a94dd50c3327e9e/0_184_3874_2326/master/3874.jpg

  • The Newest AI-Enabled Weapon: ‘Deep-Faking’ #Photos of the Earth - Defense One
    https://www.defenseone.com/technology/2019/03/next-phase-ai-deep-faking-whole-world-and-china-ahead/155944

    Step 1: Use AI to make undetectable changes to outdoor photos. Step 2: release them into the open-source world and enjoy the #chaos.

    [...]

    For example, Myers said, an adversary might fool your computer-assisted imagery analysts into reporting that a bridge crosses an important river at a given point.

    #IA #trucage

  • Google Employees Call on Company to Kick Heritage Foundation Ghoul Off AI Ethics Board
    https://gizmodo.com/google-employees-call-on-company-to-kick-heritage-found-1833714236

    Google announced the formation of a global council on technology ethics last week to some deserved trepidation. Sure, the company had amassed some highly qualified individuals to fill seats on this board—but Google’s track record of following its own internal ethics codes is less than spotless. What provoked the most outrage, however, was the appointment of Kay Coles James to the Advanced Technology External Advisory Council, a former lackey in the George W. Bush administration and the (...)

    #Google #algorithme #Dragonfly #drone #éthique #discrimination #HeritageFoundation #LGBT (...)

    ##ProjectMaven

  • Google employees are lining up to trash Google’s AI ethics council - MIT Technology Review
    https://www.technologyreview.com/s/613253/googles-ai-council-faces-blowback-over-a-conservative-member

    un élément intéressant et à prendre en compte : les deux personnes visées sont également les deux seules femmes de ce comité d’experts. Choisies stratégiquement par Google pour faire jouer l’avantage genre, ou cibles plus évidentes des protestataires parce que femmes ?

    En tout cas, la place que la Heritage Foundation (droite dure et néo-management) prend dans l’espace mental des Etats-Unis, notamment dans le domaine technologique, est à suivre de près.

    Almost a thousand Google staff, academic researchers, and other tech industry figures have signed a letter protesting the makeup of an independent council that Google created to guide the ethics of its AI projects.
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    The search giant announced the creation of the council last week at EmTech Digital, MIT Technology Review’s event in San Francisco. Known as the Advanced Technology External Advisory Council (ATEAC), it has eight members including economists, philosophers, policymakers, and technologists with expertise in issues like algorithmic bias. It is meant to hold four meetings a year, starting this month, and write reports designed to provide feedback on projects at the company that use artificial intelligence.

    But two of those members proved controversial. One, Dyan Gibbens, is CEO of Trumbull, a company that develops autonomous systems for the defense industry—a contentious choice given that thousands of Google employees protested the company’s decision to supply the US Air Force with AI for drone imaging. The greatest outrage, though, has come over the inclusion of Kay Coles James, president of the Heritage Foundation, a think tank that opposes regulating carbon emissions, takes a hard line on immigration, and has argued against the protection of LGBTQ rights.

    One member of the council, Alessandro Acquisti, a professor at Carnegie Mellon University who specializes in digital privacy issues, announced on March 30th that he wouldn’t be taking up the role. “While I’m devoted to research grappling with key ethical issues of fairness, rights & inclusion in AI, I don’t believe this is the right forum for me to engage in this important work," he tweeted.

    The creation of ATEAC—and the inclusion of Gibbens and James—may in fact have been designed to appease Google’s right-wing critics. At roughly the same time the council was announced, Sundar Pichai, Google’s CEO, was meeting with President Donald Trump. Trump later tweeted: “He stated strongly that he is totally committed to the U.S. Military, not the Chinese Military. [We] also discussed political fairness and various things that Google can do for our Country. Meeting ended very well!”

    But one Google employee involved with drafting the protest letter, who spoke on condition of anonymity, said that James is more than just a conservative voice on the council. “She is a reactionary who denies trans people exist, who endorses radically anti-immigrant positions, and endorses anti-climate-change, anti-science positions.”

    Some noted AI algorithms can reinforce biases already seen in society; some have been shown to misidentify transgender people, for example. In that context, “the fact that [James] was included is pretty shocking,” the employee said. “These technologies are shaping our social institutions, our lives, and access to resources. When AI fails, it doesn’t fail for rich white men working at tech companies. It fails for exactly the populations that the Heritage Foundation’s policies are already aiming to harm.”

    Messages posted to a Google internal communications platform criticized the appointment of James especially. According to one post, earlier reported by the Verge and confirmed by the employee, James “doesn’t deserve a Google-legitimized platform, and certainly doesn’t belong in any conversation about how Google tech should be applied to the world.”

    As of 5:30 pm US Eastern time today the public letter, posted to Medium, had been signed by 855 Google employees and 143 other people, including a number of prominent academics. “Not only are James’ views counter to Google’s stated values,” the letter states, “but they are directly counter to the project of ensuring that the development and application of AI prioritizes justice over profit. Such a project should instead place representatives from vulnerable communities at the center of decision-making.”

    #Google #Intelligence_artificielle #Ethique #Politique_USA

  • Top 5 Trends of Artificial Intelligence (AI) 2019
    https://hackernoon.com/top-5-trends-of-artificial-intelligence-ai-2019-693f7a5a0f7b?source=rss-

    To estimate the trends of Artificial Intelligence (AI) 2019, we need to remember that 2018 witnessed a multitude of platforms, applications, and tools which are based on artificial intelligence and machine learning.Such technology trends laid huge implications on software and the Internet industry. Furthermore, its effects on fields like healthcare, manufacturing, agriculture, and automobile are worth-noticing.The advancement of ML and AI-related technologies will have a long journey in 2019, or even further. Future of AI seems bright and it is supported by the fact mentioned further:Well-reputed companies like Apple, Amazon, Google, Facebook, IBM, Microsoft and the like are investing a lot in the research and development of AI, which will definitely bring consumers and AI (...)

    #technology-trends #ai-future #machine-learning-ai #artificial-intelligence #deep-learning

  • Inmates in Finland are training AI as part of prison labor
    https://www.theverge.com/2019/3/28/18285572/prison-labor-finland-artificial-intelligence-data-tagging-vainu

    Prison labor” is usually associated with physical work, but inmates at two prisons in Finland are doing a new type of labor : classifying data to train artificial intelligence algorithms for a startup. Though the startup in question, Vainu, sees the partnership as a kind of prison reform that teaches valuable skills, other experts say it plays into the exploitative economics of prisoners being required to work for very low wages. Vainu is building a comprehensive database of companies (...)

    #algorithme #travail #prison

  • What I learned using #gpt-2 to write a novel
    https://hackernoon.com/what-i-learned-using-gpt-2-to-write-a-novel-b74a6294c813?source=rss----3

    The storyOn February the 14th 2019 Open AI posted their peculiar love-letter to the AI community. They shared a 21-minute long blog talking about their new language model named GPT-2, examples of the text it had generated, and a slight warning. The blog ends with a series of possible policy implications and a release strategy.“…we expect that safety and security concerns will reduce our traditional publishing in the future, while increasing the importance of sharing safety, policy, and standards research” OpenAI CharterWhile we have grown accustomed to OpenAI sharing their full code bases alongside announcements, OpenAI is committed to making AI safe. On this occasion, releasing the full code was deemed unsafe, citing concerns around impersonation, misleading news, fake content, and (...)

    #artificial-intelligence #machine-novel #novel-written-by-machine #machine-written-noval

  • #ai #trends for #2019: What Should We Expect?
    https://hackernoon.com/ai-trends-for-2019-what-should-we-expect-9a1034dbb8e1?source=rss----3a81

    It’s been years since Artificial Intelligence was first introduced to the world. Now, the technology is available not only to businesses but to everyday users as well.AI has become a priceless helper for all industries worldwide. Its ability to process huge data sets and use this data for multiple purposes allowed businesses to significantly leverage their performance and offer brand-new service to the customers.We are all familiar with virtual assistants, smart homes, personalized apps, and smart gadgets. So is there a way AI can surprise us in the future? Read about the biggest AI trends below.Advanced personalizationUsers want personalization and that’s a fact. 56% of shoppers are willing to come back to the site if it recommends a product and personalized display ads have a 10X CTR (...)

    #chatbots #artificial-intelligence

  • 16 Best Resources to Learn AI & Machine Learning in 2019
    https://hackernoon.com/16-best-resources-to-learn-ai-machine-learning-in-2019-f95c4f59018b?sour

    While making GeekForge — a daily listing of interesting coding tasks — we researched several sources where you can learn AI and ML, and we thought it would be a good idea to share this list with you.Two years have already passed since Mark Cuban said that if you don’t understand artificial intelligence, deep learning, and machine learning “you’re going to be a dinosaur within three years.” If you still didn’t dig yourself into that knowledge, especially if you’re a developer, then you’ve got about a year left to see whether he was right or not.But luckily for you, if you are in fact interested in keeping your skills up to date, I hand-picked the best resources that are relevant today, regardless if you’re a beginner in the field or if you’ve already got your feet wet a long time ago. From video (...)

    #software-development #education #artificial-intelligence #learning-to-code #machine-learning

  • #tensorflow is dead, long live TensorFlow!
    https://hackernoon.com/tensorflow-is-dead-long-live-tensorflow-49d3e975cf04?source=rss----3a814

    If you’re an AI enthusiast and you didn’t see the big news this month, you might have just snoozed through an off-the-charts earthquake. Everything is about to change!What is this? The TensorFlow logo or the letter you use to answer tough True/False exam questions?Last year I wrote 9 Things You Need To Know About TensorFlow… but there’s one thing you need to know above all others: TensorFlow 2.0 is here!The revolution is here! Welcome to TensorFlow 2.0.It’s a radical makeover. The consequences of what just happened are going to have major ripple effects on every industry, just you wait. If you’re a TF beginner in mid-2019, you’re extra lucky because you picked the best possible time to enter AI (though you might want to start from scratch if your old tutorials have the word “session” in (...)

    #technology #machine-learning #artificial-intelligence #hackernoon-top-story

  • A Quick Introduction to Artificial Intelligence, Machine Learning, Deep Learning and #tensorflow
    https://hackernoon.com/a-quick-introduction-to-artificial-intelligence-machine-learning-deep-le

    What used to be just a pipe dream in the realms of science fiction, artificial intelligence (AI) is now mainstream technology in our everyday lives with applications in image and voice recognition, language translations, chatbots, and predictive data analysis.In this article, we’ll introduce AI along with its related terms machine learning and deep learning. By the end of the article you should understand these terms, how things generally work and be more familiar with terms like Inception and YOLO (and no, we’re not talking about the Leonardo DiCaprio movie or some internet meme).Artificial intelligence (AI) is the simulation of human intelligence by computers. Machine learning is a branch of AI where algorithms are used to learn from data to make future decisions or predictions. Deep (...)

    #open-source #artificial-intelligence #deep-learning #machine-learning

  • Can AI Be a Fair Judge in Court ? Estonia Thinks So
    https://www.wired.com/story/can-ai-be-fair-judge-court-estonia-thinks-so

    Government usually isn’t the place to look for innovation in IT or new technologies like artificial intelligence. But Ott Velsberg might change your mind. As Estonia’s chief data officer, the 28-year-old graduate student is overseeing the tiny Baltic nation’s push to insert artificial intelligence and machine learning into services provided to its 1.3 million citizens. “We want the government to be as lean as possible,” says the wiry, bespectacled Velsberg, an Estonian who is writing his PhD (...)

    #algorithme #justice #solutionnisme

  • Introducing UI2CODE : An Automatic #flutter #ui Code Generator
    https://hackernoon.com/introducing-ui2code-an-automatic-flutter-ui-code-generator-7e0a575c193?s

    With the help of AI, Alibaba’s Xianyu tech team is advancing an intelligent tool that renders visual UI design as Flutter code with 100 percent accuracyAs we explored in our recent article on AI-based algorithm development, automation is quickly changing from something to that developers can work on into something that can do developers’ work. While the extent of this shift remains to be seen in the years to come, one major focus today is how AI can tackle the repetitive and tedious aspects of application development so human developers can focus their efforts elsewhere.Now, developers at Alibaba’s Xianyu(闲鱼) second-hand trading platform have launched the UI2CODE project to apply deep learning technology in converting visual user interface images to client-side code. With clear component, (...)

    #artificial-intelligence #ecommerce #machine-learning

  • Warnings of a Dark Side to A.I. in Health Care - The New York Times
    https://www.nytimes.com/2019/03/21/science/health-medicine-artificial-intelligence.html

    Similar forms of artificial intelligence are likely to move beyond hospitals into the computer systems used by health care regulators, billing companies and insurance providers. Just as A.I. will help doctors check your eyes, lungs and other organs, it will help insurance providers determine reimbursement payments and policy fees.

    Ideally, such systems would improve the efficiency of the health care system. But they may carry unintended consequences, a group of researchers at Harvard and M.I.T. warns.

    In a paper published on Thursday in the journal Science, the researchers raise the prospect of “adversarial attacks” — manipulations that can change the behavior of A.I. systems using tiny pieces of digital data. By changing a few pixels on a lung scan, for instance, someone could fool an A.I. system into seeing an illness that is not really there, or not seeing one that is.

    _ Software developers and regulators must consider such scenarios, as they build and evaluate A.I. technologies in the years to come, the authors argue. The concern is less that hackers might cause patients to be misdiagnosed, although that potential exists. More likely is that doctors, hospitals and other organizations could manipulate the A.I. in billing or insurance software in an effort to maximize the money coming their way. _

    In turn, changing such diagnoses one way or another could readily benefit the insurers and health care agencies that ultimately profit from them. Once A.I. is deeply rooted in the health care system, the researchers argue, business will gradually adopt behavior that brings in the most money.

    The end result could harm patients, Mr. Finlayson said. Changes that doctors make to medical scans or other patient data in an effort to satisfy the A.I. used by insurance companies could end up on a patient’s permanent record and affect decisions down the road.

    Already doctors, hospitals and other organizations sometimes manipulate the software systems that control the billions of dollars moving across the industry. Doctors, for instance, have subtly changed billing codes — for instance, describing a simple X-ray as a more complicated scan — in an effort to boost payouts.

    Hamsa Bastani, an assistant professor at the Wharton Business School at the University of Pennsylvania, who has studied the manipulation of health care systems, believes it is a significant problem. “Some of the behavior is unintentional, but not all of it,” she said.

    #Intelligence_Artificielle #Médecine #Manipulation #Economie_santé

  • How #blockchain Can Democratize AI Development
    https://hackernoon.com/how-blockchain-can-democratize-ai-development-6c49037100e4?source=rss---

    Data Access for AI: An Under-Explored Use for BlockchainThere is a vast amount of computing power around the world that is not used efficiently. There are an estimated 4 billion personal computers in the world and 90% of them have free capacities at any given moment. This is to say nothing of the idle capacities of other personal devices, like smartphones and tablets. In effect, this excess computing power is wasted.Lots of startups are trying to use blockchain technology to take advantage of this inefficiency to meet different economic needs. The blockchain is exciting in this context because it provides an infrastructure for distributed computing power, while at the same time providing an incentive for individuals to link their idle devices to the network.Many of the startups I’ve (...)

    #startup #cryptocurrency #artificial-intelligence #business

  • “It’s Not Going to Be Easy”: The Boeing Tragedy Is Just the Beginning of the Self-Driving Techpocalypse | Vanity Fair
    https://www.vanityfair.com/news/2019/03/the-boeing-tragedy-is-just-the-beginning-of-the-self-driving-techpocalyp

    Software-based accidents are still incredibly rare, Clive Thompson, the author of the new book Coders: The Making of a New Tribe and the Remaking of the World, told me in an interview. And yet, when we consider a future in which our lives are dictated by lines of code, there is vast potential for unforeseen trouble. “If we’re going to have big #robot devices zooming around us all day long, we’re going to need rigorous review of the code. That’s clear. We’re moving to a world where F.A.A.-like regulation will reach into lots of newfangled machines,” Thompson told me. “It’s not going to be easy, and there’ll always be risk. Software’s complex, so it’s hard to tell how it’ll behave in everyday life. The F.A.A. already regulates aircraft software pretty tightly, yet we got the Max 8 catastrophe.”

    #IA