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0 | 25
  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 20/09/2020

    AI ethics - why teaching ethics and “ethics training” is problemati...
    ▻https://diasp.eu/p/11663295

    AI ethics - why teaching ethics and “ethics training” is problematic | #AI #artificialintelligence #bias #ethics #teaching

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 4/09/2020

    To Surveil and Predict: A Human Rights Analysis of Algorithmic Poli...
    ▻https://diasp.eu/p/11585135

    To Surveil and Predict: A Human Rights Analysis of Algorithmic Policing in Canada | #algorithmic #bias #canada #crime #discrimination #humanrights #justice #policy #predictive #recommendations #surveillance

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 27/08/2020

    Jeffrey Epstein’s Harvard Connections Show How Money Can Distort Re...
    ▻https://diasp.eu/p/11543744

    Jeffrey Epstein’s Harvard Connections Show How Money Can Distort Research | #bias #funding #research #science

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 15/08/2020

    Unraveling the Mindset of Victimhood - A must read. (▻https://www.sc...
    ▻https://diasp.eu/p/11495110

    Unraveling the Mindset of Victimhood - A must read. | #anthropology #anxiety #attachment #attribution #behavior #beliefs #bestof #bias #conflicts #control #culture #egoism #elitism #empathy #forgiveness #fulfillment #growth #happiness #identity #insecurity #interpretation #learning #locus #memory #mindset #paranoia #powerdynamics #psychology #recognition #relationships #rumination #sociology #victimhood

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 24/06/2020

    Why Are We So Quick To Scrutinise How Low-Income Families Spend The...
    ▻https://diasp.eu/p/11236908

    Why Are We So Quick To Scrutinise How Low-Income Families Spend Their Money? | #bias #comparison #consumption #inequality #money

    oAnth_RSS @oanth_rss CC BY
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  • @_kg_
    -KG- @_kg_ 19/04/2020

    La politique des putes

    Océan réalise, avec « La #Politique_des_putes », une enquête en immersion dans laquelle il tend le micro à des travailleuses·rs du sexe. Elles disent le stigmate, la marginalisation, la précarité, les violences systémiques mais aussi les ressources et l’empowerment. Pour elles, l’intime est résistance. Dix épisodes de 30 mn pour briser les préjugés.

    http://www.nouvellesecoutes.fr/wp-content/uploads/2020/03/COVER_DOCU_INTIMEPOLITIQUE-2-1-600x600.jpg


    La Politique des putes (1/10) - Travailler
    La Politique des putes (2/10) - Stigmatiser
    La Politique des putes (3/10) - Militer
    La Politique des putes (4/10) - Choisir
    La Politique des putes (5/10) - Désirer
    La Politique des putes (6/10) - Migrer
    La Politique des putes (7/10) - Soigner
    La Politique des putes (8/10) - S’échapper
    La Politique des putes (9/10) - Agir
    La Politique des putes (10/10) - Construire

    ►http://www.nouvellesecoutes.fr/podcasts/intime-politique

    #sex_work #prostitution #patriarchy #capitalism #feminism #wage_labor #whorephobe #whorephobia #pimping #stigma #bias #prejudice #stigmatization #discrimination #systemic_violence #instiutional_violence #heterosexual_concept #sexual_education #normalisation #abolotionism #black_and_white #subventions #decriminalisation #penalty #laws #rights #transphobia #domination #marginalisation #vulnerability #invisbility #undocumented #isolation #fear #police_harassment #physical_violence #rape #precarity #affirmation #empowerment #dignity #trust #solidarity #network #community #choice #perception #society #associations #seropositive #access_to_healthcare #suicidal_thought #debt #menace #voodoo #exploitation #trafficking #migration #borders #family_pressure #clients_image #mudered #testimony #interview #podcast #audio #France #Paris

    “sex work is not dirty - dirty are all the representations about sex work” (La politique des putes 7/10, min 7).

    -KG- @_kg_
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  • @ant1
    ant1 @ant1 CC BY-NC 23/03/2020

    sur la gestion (pathétique?) de la pandémie, d’un collègue de Nancy

    Is “#stay_at_home” the correct #social_distancing measure to fight the covid-19 pandemic ?
    ▻https://medium.com/@antonello.lobianco/is-stay-at-home-the-correct-social-distancing-measure-to-fight-the-covid-19-

    “The message “stay at home’’ is undoubtedly simpler than “don’t stay without means of respiratory protection in closed places in the presence of other people and avoid physical contacts’’ but this simplicity comes at the cost of a #bias.

    In other words, looking at everyone on the road as a possible infector, is only a desperate response from a #frightened and #confused society that finds itself sick but does not want to discover itself technologically overtaken.”

    ant1 @ant1 CC BY-NC
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  • @kassem
    Kassem @kassem CC BY-NC-SA 14/12/2019

    A tug-of-war over biased AI - Axios
    ▻https://www.axios.com/ai-bias-c7bf3397-a870-4152-9395-83b6bf1e6a67.html

    https://images.axios.com/zbERZMptIKuBZt6mMGwBqs1OTCc=/0x0:1920x1080/1920x1080/2019/12/14/1576290164844.png

    The idea that AI can replicate or amplify human prejudice, once argued mostly at the field’s fringes, has been thoroughly absorbed into its mainstream: Every major tech company now makes the necessary noise about “AI ethics.”

    Yes, but: A critical split divides AI reformers. On one side are the bias-fixers, who believe the systems can be purged of prejudice with a bit more math. (Big Tech is largely in this camp.) On the other side are the bias-blockers, who argue that AI has no place at all in some high-stakes decisions.

    Why it matters: This debate will define the future of the controversial AI systems that help determine people’s fates through hiring, underwriting, policing and bail-setting.

    What’s happening: Despite the rise of the #bias-blockers in 2019, the #bias-fixers remain the orthodoxy.

    #IA #biais #technologie #décisions

    Kassem @kassem CC BY-NC-SA
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 18/11/2019

    Why Feedback Rarely Does What It’s Meant To (▻https://hbr.org/2019/0...
    ▻https://diasp.eu/p/9998277

    Why Feedback Rarely Does What It’s Meant To | #bestof #bias #cognition #errors #excellence #failures #fallacy #feedback #judgment #leadership #learning #management #psychometrics #radicalcandor #selfevaluation #truth

    oAnth_RSS @oanth_rss CC BY
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  • @cdb_77
    CDB_77 @cdb_77 18/11/2019

    Les #algorithmes, un danger pour la #santé des Américains noirs

    Même les #logiciels de prise de décision utilisés par les hôpitaux aux États-Unis sont racistes. Peut-on corriger ces #préjugés, se demande la revue scientifique Nature.

    ▻https://www.courrierinternational.com/article/technologies-les-algorithmes-un-danger-pour-la-sante-des-amer
    #santé #racisme #Noirs #Afro-américains #USA #Etats-Unis

    CDB_77 @cdb_77
    • @cdb_77
      CDB_77 @cdb_77 18/11/2019

      Millions of black people affected by racial #bias in health-care algorithms

      Study reveals rampant racism in decision-making software used by US hospitals — and highlights ways to correct it.

      ▻https://www.nature.com/articles/d41586-019-03228-6

      CDB_77 @cdb_77
    • @klaus
      klaus++ @klaus 18/11/2019

      Ghani says that his team has carried out unpublished analyses comparing algorithms used in public health, criminal justice and education to human decision making. They found that the machine-learning systems were biased — but less so than the people.

      “We are still using these algorithms called humans that are really biased,” says Ghani. “We’ve tested them and known that they’re horrible, but we still use them to make really important decisions every day.”

      #triage #Auschwitz #iatrocratie #code_is_law

      klaus++ @klaus
    • @bce_106_6
      Renée Pélagy @bce_106_6 18/11/2019

      Et les chicanos, les indiens, les prisonniers ?
      Ils n’ont pas de problèmes ?

      Renée Pélagy @bce_106_6
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  • @cdb_77
    CDB_77 @cdb_77 3/08/2019

    Oro e acqua minerale

    C’è una piccola regione in Australia, nella zona centrale dello stato di Victoria, che è molto ticinese. C’è un paese che si chiama Hepburn dove i cognomi degli abitanti sono Rodoni, Vanzetta, Scheggia, Vanina, Tinetti, Righetti, Crippa, Perini, Respini... Non parlano italiano, non parlano dialetto ticinese e sono veramente australiani.

    I loro antenati emigrarono in Australia dal Ticino, attorno al 1850, quando scoppiò la febbre dell’oro. Facevano i cercatori d’oro, ma piano piano si insediarono in quella regione e crearono una comunità molto unita, che presto diventò la loro nuova patria.

    ▻https://www.rsi.ch/la1/programmi/cultura/storie/Oro-e-acqua-minerale-10879319.html
    #film #documentaire #émigration #Tessin #Australie #histoire #Suisse #Biasca #sureau #eau_minérale #Hepburn #or #ruée_vers_l'or #extractivisme #colonisation #châtaigniers #mines
    #Welcome_Stranger, une #pépite_d'or :

    https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Welcome_Stranger.jpg/220px-Welcome_Stranger.jpg

    ▻https://fr.wikipedia.org/wiki/Welcome_Stranger
    #nugget

    –---

    Quelques commentaires :
    « L’Australia non ha una lunga storia, solo un paio di secoli »
    –-> dit un habitant de Melbourne qui a acheté une maison à Hepburn construite par une Scheggia, un émigrant tessinois autour de 1815...
    Et la présentatrice en commentaire après le documentaire :

    «La storia dell’Australia è molto molto giovane, lo si diceva nel documentario, 2 secoli di storia o poco più»

    ... comme si les #peuples_autochtones n’existaient pas avant l’arrivée des Européens, comme si l’histoire n’est écrite que depuis leur arrivée... Il y a un sacré besoin de décoloniser l’histoire...

    CDB_77 @cdb_77
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 6/06/2019

    Introspection illusion (▻https://en.wikipedia.org/wiki/Introspection...
    ▻https://diasp.eu/p/9148347

    Introspection illusion | #bias #cognitive #illusion #introspection #mental #state

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 20/05/2019

    Matthew P. to Paul G.: “It’s hard to take risks if you don’t have a...
    ▻https://diasp.eu/p/9079253

    Matthew P. to Paul G.: “It’s hard to take risks if you don’t have a safety net.” | #bias #culture #entrepreneurship #risks #safety #SiliconValley #startups #survivorship

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 20/05/2019

    ‘If you’re struggling to survive day-to-day’: Class optimism and co...
    ▻https://diasp.eu/p/9079254

    ‘If you’re struggling to survive day-to-day’: Class optimism and contradiction in entrepreneurial discourse | #bias #contradiction #culture #entrepreneurship #research #SiliconValley #startups

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 10/02/2019

    You can’t characterize human nature if studies overlook 85 percent ...
    ▻https://diasp.eu/p/8487211

    You can’t characterize human nature if studies overlook 85 percent of people on Earth | #bias #psychology #research #WEIRD

    oAnth_RSS @oanth_rss CC BY
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  • @hackernoon
    Hacker Noon @hackernoon CC BY-SA 2/01/2019

    Bias in #ai: a letter to my daughter
    ▻https://hackernoon.com/my-dearest-eliisabet-de724a86d105?source=rss----3a8144eabfe3---4

    https://cdn-images-1.medium.com/max/1024/1*80RJcYHioUimZkIlN_VeeQ.jpeg

    My dearest Eliisabet,Only 5 years old, but you will grow up to become a strong, beautiful & independent woman, of that I’m sure.You are a daughter of a man that wasn’t always an example to others. It took some time for me to grow up & take responsibility for my actions. Being your father has accelerated this process for sure.My generation seems to be struggling with growing up as well. Especially in the relatively young tech community, and more specific the artificial intelligence community, people are not always taking their responsibilities serious.Equality is hard work for my non-white & non-male colleagues in both academia and the industry. The current system is biased in many subtle but also in some very obvious ways.Although the tech community has an huge impact on (...)

    #feminism #bias-in-ai #ai-bias #women-in-tech

    Hacker Noon @hackernoon CC BY-SA
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  • @hackernoon
    Hacker Noon @hackernoon CC BY-SA 16/12/2018

    Tackle #bias and Other Problems/Solutions in Machine Learning Models
    ▻https://hackernoon.com/tackle-bias-and-other-problems-solutions-in-machine-learning-models-f427

    Predictive Analytics models rely heavily on Regression, Classification and Clustering methods. When analysing the effectiveness of a predictive model, the closer the predictions are to the actual data, the better it is. This article hopes to be a one-stop reference to the major problems and their most popular/effective solutions, without diving into details for execution.A Linear Regression PlotA clustering algorithm plotPrimarily, data selection and pruning happens during the Data Preparation phase, where you take care to get rid of bad data in the first place. Then again, there are issues with the data, and their relevance to the ML model’s objectives during training, troubles with usage of #algorithms, and errors in the data that occur throughout. Effectively, the model is tested for (...)

    #machine-learning #machine-learning-models #predictive-analytics

    Hacker Noon @hackernoon CC BY-SA
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 10/11/2018

    Belief in FakeNews is Associated with Delusionality, Dogmatism, Rel...
    ▻https://diasp.eu/p/8000419

    Belief in FakeNews is Associated with Delusionality, Dogmatism, Religious Fundamentalism, and Reduced Analytic Thinking | #delusionality #bias #analytic #analyticthinking #belief #fundamentalism #fakenews #thinking #cognition #dogmatism

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 10/11/2018

    Don’t Want to Fall for Fake News? Don’t Be Lazy (▻https://www.wired....
    ▻https://diasp.eu/p/8000416

    Don’t Want to Fall for Fake News? Don’t Be Lazy | #bias #analyticthinking #reflexivity #lazy #CRT #cognition #fakenews

    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 24/09/2018

    Extending the seductive allure of neuroscience explanations effect ...
    ▻https://diasp.eu/p/7759430

    Extending the seductive allure of neuroscience explanations effect to popular articles about educational topics - Im - 2017 - British Journal of Educational Psychology - Wiley Online Library | #psychology #persuasion #influence #bias #neuroscience #education #explanations #seduction

    • #Neuroscience
    oAnth_RSS @oanth_rss CC BY
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 19/08/2018
    1
    @02myseenthis01
    1

    The Akrasia Effect: Why We Don’t Follow Through on Things (https://...
    ▻https://diasp.eu/p/7545431

    The Akrasia Effect: Why We Don’t Follow Through on Things | #akrasia #desire #selfcontrol #time #bias #gratification #intentions #procrastination #friction #strategy #cognition #addiction #inconsistancy #engagement

    oAnth_RSS @oanth_rss CC BY
    • @02myseenthis01
      oAnth @02myseenthis01 CC BY 19/08/2018

      lien relié au billet :

      The Akrasia Effect : Why we ....

      ▻https://jamesclear.com/akrasia

      ........

      ▻https://de.wikipedia.org/wiki/Akrasia
      ........

      ▻https://plato.stanford.edu/search/searcher.py?query=Akrasia

      ▻https://plato.stanford.edu/entries/weakness-will
      ▻https://plato.stanford.edu/entries/aristotle-ethics/#Akra
      ▻https://plato.stanford.edu/entries/epistemic-self-doubt

      #éthique #philosophie #acrasie

      oAnth @02myseenthis01 CC BY
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  • @thibnton
    tbn @thibnton PUBLIC DOMAIN 14/08/2018

    Quantifying Biases in Online Information Exposure | Center for Complex Networks and Systems Research, Indiana University
    ▻https://arxiv.org/abs/1807.06958
    ▻https://arxiv.org/pdf/1807.06958.pdf

    Our consumption of online #information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on online technologies such as search engines and social media may limit exposure to diverse points of view and make us vulnerable to manipulation by disinformation. In this paper, we mine a massive dataset of Web traffic to quantify two kinds of bias: (i) homogeneity bias, which is the tendency to consume content from a narrow set of information sources, and (ii) popularity bias, which is the selective exposure to content from top sites. Our analysis reveals different bias levels across several widely used Web platforms. Search exposes users to a diverse set of sources, while social media traffic tends to exhibit high popularity and homogeneity #bias. When we focus our analysis on traffic to news sites, we find higher levels of popularity bias, with smaller differences across applications. Overall, our results quantify the extent to which our choices of online systems confine us inside “social bubbles.”

    #personnalisation #médias_sociaux #algorithme via @pomeranian99

    tbn @thibnton PUBLIC DOMAIN
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  • @oanth_rss
    oAnth_RSS @oanth_rss CC BY 20/04/2018
    1
    @02myseenthis01
    1

    Flow chart of cognitive biases (►https://news.ycombinator.com/item?i...
    ▻https://diasp.eu/p/7043595

    Flow chart of cognitive biases | #bestof #cognitive #biases #cognition

    oAnth_RSS @oanth_rss CC BY
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  • @koantig
    koantig @koantig CC BY-SA 17/12/2017

    The Trouble with Bias - Kate Crawford - NIPS 2017 (50mn)
    ▻https://www.youtube.com/watch?v=6Uao14eIyGc&t=3m46s

    Great talk about #bias, #fairness and #responsibility in #machineLearning

    (and thanks to whoever put those NIPS talks somewhere else than Facebook)

    koantig @koantig CC BY-SA
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  • @cela
    celine.a @cela 10/12/2017

    U.S. Black Mothers Die In Childbirth At Three Times The Rate Of White Mothers : NPR
    ▻https://www.npr.org/2017/12/07/568948782/black-mothers-keep-dying-after-giving-birth-shalon-irvings-story-explains-why

    Black women are more likely to be uninsured outside of pregnancy, when Medicaid kicks in, and thus more likely to start prenatal care later and to lose coverage in the postpartum period. They are more likely to have chronic conditions such as obesity, diabetes and hypertension that make having a baby more dangerous. The hospitals where they give birth are often the products of historical #segregation, lower in quality than those where white mothers deliver, with significantly higher rates of life-threatening complications.

    Those problems are amplified by unconscious #biases that are embedded in the medical system, affecting quality of care in stark and subtle ways. In the more than 200 stories of #African-American mothers that ProPublica and NPR have collected over the past year, the feeling of being devalued and disrespected by medical providers was a constant theme.

    There was the new mother in Nebraska with a history of hypertension who couldn’t get her doctors to believe she was having a heart attack until she had another one. The young Florida mother-to-be whose breathing problems were blamed on obesity when in fact her lungs were filling with fluid and her heart was failing. The Arizona mother whose anesthesiologist assumed she smoked marijuana because of the way she did her hair. The Chicago-area businesswoman with a high-risk pregnancy who was so upset at her doctor’s attitude that she changed OB/GYNs in her seventh month, only to suffer a fatal postpartum stroke.
    Over and over, black women told of medical providers who equated being African-American with being poor, uneducated, noncompliant and unworthy. “Sometimes you just know in your bones when someone feels contempt for you based on your #race,” said one Brooklyn, N.Y., woman who took to bringing her white husband or in-laws to every prenatal visit. Hakima Payne, a mother of nine in Kansas City, Mo., who used to be a labor and delivery nurse and still attends births as a midwife-doula, has seen this cultural divide as both patient and caregiver. “The nursing culture is white, middle-class and female, so is largely built around that identity. Anything that doesn’t fit that #identity is suspect,” she said. Payne, who lectures on unconscious bias for professional organizations, recalled “the conversations that took place behind the nurse’s station that just made assumptions; a lot of victim-blaming — ’If those people would only do blah, blah, blah, things would be different.’”
    ...
    But it’s the discrimination that black women experience in the rest of their lives — the double whammy of race and gender — that may ultimately be the most significant factor in poor maternal outcomes.

    “It’s chronic stress that just happens all the time — there is never a period where there’s rest from it. It’s everywhere; it’s in the air; it’s just affecting everything,” said Fleda Mask Jackson, an Atlanta researcher who focuses on birth outcomes for middle-class black women.

    It’s a type of stress for which education and class provide no protection. “When you interview these doctors and lawyers and business executives, when you interview African-American college graduates, it’s not like their lives have been a walk in the park,” said Michael Lu, a longtime disparities researcher and former head of the Maternal and Child Health Bureau of the Health Resources and Services Administration, the main federal agency funding programs for mothers and infants. “It’s the experience of having to work harder than anybody else just to get equal pay and equal respect. It’s being followed around when you’re shopping at a nice store, or being stopped by the police when you’re driving in a nice neighborhood.”

    #racisme #États_Unis #maternité

    celine.a @cela
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0 | 25

Thèmes liés

  • #cognition
  • #biases
  • #culture
  • #research
  • #bestof
  • #psychology
  • #biais
  • #racisme
  • #podcast
  • #prejudice
  • #feminism
  • #algorithmes
  • #cognitive
  • #ethics
  • #entrepreneurship
  • #identity
  • #ai
  • #analyticthinking
  • #fakenews
  • company: facebook
  • #race
  • city: chicago
  • #bias
  • #media
  • #news
  • industryterm: media bias news
  • #siliconvalley
  • #startups
  • #learning
  • #discrimination