{"id":207,"date":"2024-04-13T18:46:07","date_gmt":"2024-04-13T18:46:07","guid":{"rendered":"https:\/\/responsiblepraxis.ai\/?page_id=207"},"modified":"2024-04-13T18:47:57","modified_gmt":"2024-04-13T18:47:57","slug":"readings","status":"publish","type":"page","link":"https:\/\/responsiblepraxis.ai\/?page_id=207","title":{"rendered":"Readings"},"content":{"rendered":"\n

In the fall semester we took a deep dive into various areas of AI harm. Here are some of the topics and readings we studied.<\/p>\n\n\n\n

AI Bias and Discrimination<\/h3>\n\n\n\n
    \n
  1. Watch: Coded Bias<\/em>. Shalani Kantayya. 2020.\u00a0<\/li>\n\n\n\n
  2. \u201cMachine Bias<\/a>.\u201d Julia Angwin, Jeff Larson, Surya Mattu, Lauren Kirchner. Pro Publica, 2016.<\/li>\n\n\n\n
  3. \u201cAmazon scraps secret AI recruiting tool that showed bias against women<\/a>.\u201d Jeffery Dastin. Reuters, 2018.\u00a0<\/li>\n\n\n\n
  4. “The Hidden Biases of Big Data<\/a>.”Kate Crawford. Harvard Business Review, 2013<\/li>\n\n\n\n
  5. \u201cDissecting racial bias in algorithm used to manage the health of populations<\/a>.\u201d Zaid Obermyer, Brian Powers, Chrsitine Vogeli, Sendhil Mullainathan. Science, 2019.\u00a0<\/li>\n\n\n\n
  6. \u201cAlgorithms are making decisions about health care, which may only worsen medical racism<\/a>.\u201d Crystal Grant. ACLU, 2022.\u00a0<\/li>\n\n\n\n
  7. \u201cThe coming war on the hidden algorithms that trap people in poverty<\/a>.\u201d Karen Hao, MIT Technology Review, 2020.\u00a0<\/li>\n\n\n\n
  8. \u201cUK regulators warn banks on use of AI in loan applications<\/a>.\u201d Laura Noonan. Financial Times,<\/em> 2022.<\/li>\n\n\n\n
  9. Excerpts Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy<\/em>. Cathy O\u2019Neil. Random House, 2016.\u00a0<\/li>\n\n\n\n
  10. \u201cPredictive Policing is happening now — and police could learn a lesson from Minority Report<\/a>.\u201d David Robinson. Medium, 2016.\u00a0<\/li>\n\n\n\n
  11. \u201cOne Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority<\/a>.\u201d Paul Mozur. New York Times, 2019.<\/li>\n<\/ol>\n\n\n\n

    <\/p>\n\n\n\n

    AI and the Environment<\/h3>\n\n\n\n
      \n
    1. Anatomy of an AI System: The Amazon Echo as an anatomical map of human labor, data and planetary resources<\/a>. Kate Crawford, Vladan Joler. 2018.\u00a0<\/li>\n\n\n\n
    2. \u201cAI can help us fight climate change but it has an energy problem too<\/a>.\u201d Annette Ekin. Horizon: The EU Research & Innovation Magazine<\/em>. 2019.<\/li>\n\n\n\n
    3. Excerpts AI in the Wild: Sustainability in the Age of Artificial Intelligence. <\/em>Peter Dauvergne. MIT Press, 2020.<\/li>\n\n\n\n
    4. \u201cCustomer Experience in the Age of AI<\/a>.\u201d David C. Edelman, Mark Abraham. Harvard Business Review,<\/em> 2022.\u00a0<\/li>\n<\/ol>\n\n\n\n

      <\/p>\n\n\n\n

      AI Radicalization and Extremism\u00a0\u00a0<\/h3>\n\n\n\n
        \n
      1. Listen: \u201cDown the Rabbit Hole by Design – With Guillaume Chaslot.\u201d Your Undivided Attention podcast. 2019.<\/li>\n\n\n\n
      2. \u201cWelcome to the \u2018Rabbit Hole<\/a>\u2019.\u201d Kevin Roose. The New York Times, 2020.<\/li>\n\n\n\n
      3. \u201cA glimpse into facebook\u2019s opaque and potentially vulnerable trending algorithm<\/a>.\u201d Dave Gershgorn, Mike Murphy. Quartz, 2016.\u00a0<\/li>\n\n\n\n
      4. \u201cFueling the Fire: How Social Media Intensifies Political Polarization<\/a>\u201d Paul Barret, Justin Hendrix, J. Grant Sims. NYU Stern, 2021.<\/li>\n\n\n\n
      5. \u201cA Genocide Incited on Facebook, With Posts from Myanmar’s Military<\/a>.\u201d Paul Mozur. The New York Times, 2018.<\/li>\n\n\n\n
      6. \u201cThe Existential Threat of AI Generated Disinformation<\/a>.\u201d Bradley Honigberg. Just Security, 2022.\u00a0<\/li>\n\n\n\n
      7. \u201cWhy Meta\u2019s latest large language model lasted only three days online<\/a>.\u201d Will Douglas Heaven. MIT Technology Review, 2022.\u00a0<\/li>\n\n\n\n
      8. \u201cThe Deepfake Dangers Ahead<\/a>,\u201d by Daniel Byman, Chris Meserolke and V.S. Subrahmanian, Wall Street Journal, 2023\u00a0<\/li>\n\n\n\n
      9. \u201cCan we no longer believe anything we see?<\/a>\u201d Tiffany Hsu and Steven Lee Myers. New York Times, 2023.\u00a0<\/li>\n<\/ol>\n\n\n\n

        <\/p>\n\n\n\n

        Privacy and Surveillance\u00a0in the Age of AI<\/h3>\n\n\n\n
          \n
        1. Excerpts from The Age of Surveillance Capitalism<\/em>. Shoshana Zuboff. PublicAffairs, 2019.\u00a0<\/li>\n\n\n\n
        2. \u201cThe Complicated Truth about China\u2019s Social Credit System<\/a>.\u201d Kevin Hong. Wired, 2019.<\/li>\n\n\n\n
        3. \u201cOpenAI\u2019s hunger for data is coming back to bite it.\u201d Melissa Heikkil\u00e4. MIT Technology Review, 2023.<\/li>\n\n\n\n
        4. \u201cFacebook and Cambridge Analytica: What you need to know as fallout widens<\/a>.\u201d Kevin Granville. The New York Times, 2018.<\/li>\n\n\n\n
        5. \u201cWhy I deleted Foursquare and why you should too<\/a>.\u201d Lee Kolbert. HuffPost, 2017.\u00a0<\/li>\n\n\n\n
        6. \u201cScanning student rooms during remote tests is unconstitutional, judge rules<\/a>.\u201d Emma Bowman. NPR, 2022.\u00a0<\/li>\n\n\n\n
        7. Executive Summary of The Perpetual Lineup<\/a> (includes Key Findings and Recommendations). Claire Garvie, Alvaro Bedoya, Jonathan Frankle. Georgetown Law, 2016.<\/li>\n\n\n\n
        8. \u201cYour Face is Not Your Own<\/a>\u201d by Kashmir Hill, N.Y. Times (March 18, 2021)\u00a0<\/li>\n\n\n\n
        9. \u201cEight Months Pregnant and Arrested After False Facial Recognition Match<\/a>\u201d by Kashmir Hill, N.Y. Times (August 6, 2023) available at\u00a0<\/li>\n\n\n\n
        10. \u201cThousands of Dollars for Something I Didn\u2019t Do<\/a>,\u201d by Kashmir Hill, N.Y. Times (March 31, 2023) available at\u00a0<\/li>\n<\/ol>\n\n\n\n

          AI’s Labor Problem<\/h3>\n\n\n\n
            \n
          1. Your AI is Human.\u201d Sarah T. Roberts in Your Computer is On Fire.<\/em> MIT Press, 2021.\u00a0<\/li>\n\n\n\n
          2. \u201cChat GPT is about to revolutionize the economy. We need to decide what that looks like<\/a>.\u201d David Rotman, MIT Technology Review, 2023.<\/li>\n\n\n\n
          3. \u201cInside the AI Factory<\/a>.\u201d Josh Dzieza. Intelligencer.\u00a0<\/li>\n\n\n\n
          4. \u201cOpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic<\/a>.\u201d Billy Perrigo. TIME, 2023.<\/li>\n\n\n\n
          5. \u201cChatGPT And More: Large Scale AI Models Entrench Big Tech Power<\/a>\u201d AI Now Institute, 2023.<\/li>\n\n\n\n
          6. \u201cThe Dimensions of Data Labor.<\/a>\u201d Hanlin Li, Stevie Chancellor, Nicholas Vincent, Brent Hecht. FAcct, 2023.<\/li>\n\n\n\n
          7. \u201cThe Cloud is a Factory.\u201d Nathan Ensmenger in Your Computer is on Fire.<\/em> MIT Press, 2021.\u00a0<\/li>\n<\/ol>\n\n\n\n

            How to Audit an AI<\/h3>\n\n\n\n
              \n
            1. \u201cInferences & Connections.\u201d Alex Rosenblat, Tamara Kneese, and Danah boyd, 2014.<\/li>\n\n\n\n
            2. \u201cModel Cards for Model Reporting.\u201d Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru. 2019.<\/li>\n\n\n\n
            3. \u201cAlgorithmic Accountability: Journalistic investigation of computational power structures\u201d Nicholas Diakopoulos, Digital Journalism<\/em>, 2014.<\/li>\n\n\n\n
            4. \u201cAuditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms.\u201d Christian Sandvig, Kevin Hamilton, Karrie Karahalios, & Cedric Langbort, 2014.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

              In the fall semester we took a deep dive into various areas of AI harm. Here are some of the topics and readings we studied. AI Bias and Discrimination AI and the Environment AI Radicalization and Extremism\u00a0\u00a0 Privacy and Surveillance\u00a0in the Age of AI AI’s Labor Problem How to Audit an AI<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":209,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-207","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=\/wp\/v2\/pages\/207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=207"}],"version-history":[{"count":1,"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=\/wp\/v2\/pages\/207\/revisions"}],"predecessor-version":[{"id":208,"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=\/wp\/v2\/pages\/207\/revisions\/208"}],"up":[{"embeddable":true,"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=\/wp\/v2\/pages\/209"}],"wp:attachment":[{"href":"https:\/\/responsiblepraxis.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}