Readings
In advance of each session, we will distribute some readings to help you think through that week’s central themes. For those of you who are interested in diving deeper into relevant material, we recommend you look at the reading list for the undergraduate course that will be running in parallel to this one. You will see additional readings and resources on the technical, ethical, and public policy questions our sessions bring to light. (For Algorithmic Decision-Making, see readings 1/11-25; for Data Privacy, 1/28-2/8; for AI, 2/11-2/25; for Platforms, 2/27-3/11.)
NOTE: We will be updating this page week by week as the class goes on.
For January 16
On Wednesday, we will begin our exploration with a wide-ranging opening session that features two formidable guests: Reid Hoffman and Nicole Wong. Given the breadth of experience that Reid and Nicole bring, we will address an array of topics that, together, set the stage for the conversations ahead.
Among the topics we are likely to cover are:
- Ethical reckoning or “techlash” currently facing the tech sector
- Geopolitical dimensions of technological progress (especially with respect to China)
- Our policymakers’ ability to govern a society transformed by technology
- Potential approaches to what lies ahead (regulation, self-regulation, employee activism, consumer action, etc.)
Instead of pre-readings for this week, we would like you to spend some time reflecting on your own experiences of and interest in the ethical and political issues that the technology industry and our society will confront in the years ahead. Please spend some time filling out this questionnaire and submit your answers by Tuesday at 10pm PST.
For January 23
- “Machine Bias” by Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner (ProPublica, 2016)
- "Algorithmic Impact Assessments: Toward Accountable Automation in Public Agencies" by Dillon Reisman, Jason Schultz, Kate Crawford, Meredith Whittaker, pp. 7-20 (AI Now Institute, 2018)
- “A Guide to Solving Social Problems with Machine Learning" by Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan (Harvard Business Review, 2016)
- “News Site to Investigate Big Tech, Helped by Craigslist Founder” by Nellie Bowles (New York Times, September 2018)
- “New York City’s Bold, Flawed Attempt to Make Algorithms Accountable" by Julia Powles (New Yorker, 2017)
- “California just replaced cash bail with algorithms" by Dave Gershgorn (Quartz, 2018)
- Stanford Case Study: Algorithmic Decision-Making and Accountability by Lauren Kirchner (developed for our undergraduate course)
If you are interested in reading further, we recommend the following books: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, Algorithms of Oppression, The Black Box Society.
For February 6
- "Your Apps Know Where You Were Last Night, and They’re Not Keeping It Secret" by Jennifer Valentino-Devries, Natasha Singer, Michael H. Keller and Aaron Krolik (New York Times, 2018)
- "Privacy and Information Sharing” by Lee Rainie and Maeve Duggan, (Pew Research Center, 2016)
- “Face Off: Law Enforcement Use of Face Recognition Technology” by Jennifer Lynch (Electronic Frontier Foundation, 2018)
- “Saving Privacy” by Reed Hundt (Boston Review, 2014)
- "Americans feel the tensions between privacy and security concerns” by Shiva Maniam (Pew Research Center, 2016)
- “Facial recognition technology: The need for public regulation and corporate responsibility” (Microsoft, 2018)
- “Civil Society Letter to Amazon on Facial Recognition” (January 2019)
- “Private traits and attributes are predictable from digital records of human behavior” by Michal Kosinski, David Stillwell, and Thore Graepel (PNAS, 2013)
- “Why ‘Anonymous’ Data Sometimes Isn’t” by Bruce Schneier (WIRED, December 2007)
- “The End of Trust” (McSweeney’s and Electronic Frontier Foundation, 2018)
For February 20
- “Why Silicon Valley Must Go to War” by Christopher M. Kirchoff (New York Times, 2018)
- "Google Plans Not to Renew Its Contract for Project Maven" by Kate Conger (Gizmodo, 2018)
- “Trump’s Plan to Keep America First in AI” by Tom Simonite (Wired, 2019)
- “Slaughterbots” (video, narrated by Stuart J. Russell, 2017)
- "Remarks by Deputy Secretary Work on Third Offset Strategy" (Remarks by Deputy Secretary Work, 2016)
- “Strategic Competition in an Era of Artificial Intelligence” by Michael Horowitz, Gregory C. Allen, Elsa B. Kania and Paul Scharre (Center for a New American Security, 2018)
- "Lethal Autonomous Systems and the Plight of the Non-combatant” by Ronald Arkin (AISB Quarterly, 2013)
- “Autonomous Weapons: an Open Letter from AI & Robotics Researchers” by Future of Life Institute
For March 6
- “A Declaration of Independence of Cyberspace” by John Perry Barlow (1996)
- “It’s the (Democracy-Poisoning); Golden Age of Free Speech” by Zeynep Tufekci (WIRED, 2018)
- “Tech Platforms and the Knowledge Problem” by Frank Pasquale (American Affairs, 2018)
- "Filter Bubbles, Echo Chamber, and Online News Consumption" by Seth Flaxman, Sharad Goel, and Justin M. Rao (Public Opinion Quarterly, 2016)
- “Antitrust: Commission fines Google €4.34 billion for illegal practices regarding Android mobile devices to strengthen dominance of Google's search engine” (European Commission, 2018)
- “Drell Lecture: The Battle for the Soul of the Internet” by Alex Stamos (video)
- “Post No Evil” (Radiolab podcast, August 2018)
- “The Digital Maginot Line” by Renee DiResta (Ribbonfarm, 2018)
For March 13
- Individual profile on Ellora Israni
- "Exclusive: WhatsApp Cofounder Brian Acton Gives The Inside Story On #DeleteFacebook And Why He Left $850 Million Behind” by Parmy Olson (Forbes, 2018)
- “Reflecting On One Very, Very Strange Year At Uber” by Susan Fowler (Susan’s blog, 2017)
- “Google's Ideological Echo Chamber” by James Damore (2017)
- Google Diversity Annual Report 2018“It’s Not Too Late for Social Media to Regulate Itself” by David Siegel and Rob Reich (WIRED, 2019)