European Court Data Retention Cases Will Impact AI and Fundamental Rights, CAIDP Update 2.33 (Sept. 13, 2021)
G7 Privacy Officials Issue Statement on Data Free Flow with Trust, CAIDP Update 2.32 (Sept. 9, 2021)
US Leaders Back Democratic Values for AI, But Next Steps Remain Unclear, CAIDP Update 2.27 (July 14, 2021)
US Announces National AI Task Force, Advisory Committee to Follow, CAIDP Update 2.23 (June 10, 2021)
European Commission, Algorithmic
Access Now and EDRi - Attention EU regulators: we need more than AI “ethics” to keep us safe (Oct. 21, 2020)
2nd AI Policy Conference
14-15 September 2021
International Summer School on AI
Bilgi IT Law Institute
2 August - 30 September 2021
Marc Rotenberg in Conversation with International Chess Master Ken Regan: Chess, AI, and Transparency
June 30, 2021
Global Privacy Assembly - #GPA2021
National Institute for Transparency, Access to Information and Personal Data Protection
Mexico City, Mexico
18-21 October 2021
Maintaining Control Over AI, Marc Rotenberg responds to Ben Shneiderman on Human-Centered AI, Issues in Science and Technology (Spring 2021)
The AI Policy Sourcebook is the first compendium of AI policy, providing essential information for policy makers, researchers, journalists, and the public. Edited by Marc Rotenberg, the AI Policy Sourcebook includes global AI frameworks, such as the OECD AI Principles and the Universal Guidelines for AI. The Sourcebook also includes materials from the European Union and the Council of Europe, national AI initiatives, as well as recommendations from professional societies, including the ACM and the IEEE.
Marc Rotenberg, "Schrems II, from Snowden to China: Toward a New Alignment on Transatlantic Data Protection," European Law Journal (September 2020)
Merve Hickok, Pages: 41 - 47
Marc Rotenberg, "Artificial Intelligence and the right to algorithmic transparency " in M. Ienca, et al, The Cambridge Handbook of Life Science, Information Technology and Human Rights (2021)
CAIDP recommends the AIethicist Bookstore, powered by bookshop.org. Topics include: AI Ethics, Bias & Social Justice; Conext for AI and Data - Bias/Power/Injustice; and Dystopian Futures.
The books recommended here cover topics of AI ethics, big data & social impact, biased algorithms, privacy, lack of regulation or ethics around automated decision making.
There are also books that provide background on what cause these areas (and hence the data) to be historically unequal and what are the root causes of social and structural injustices in these areas - like policing, mass incarceration, welfare, housing, financial markets, communication, just to name a few.
Karen Ho, “I started crying”: Inside Timnit Gebru’s last days at Google—and what happens next, MIT TechReview (Dec. 16, 2020).
Karen Hao, The coming war on the hidden algorithms that trap people in poverty, MIT Technology Review (Dec. 4, 2020)
Gabriela Zanfir-Fortuna, The A-Levels and IB Algorithms Fiascos Show Why Data Protection Should be Regulated Differently Than Privacy, The Medium (Oct. 13, 2020)
James Gleick, Algorithmic Democracy (review of Jill Lepore's If Then: How the Simulmatics Corporation Invented the Future), NY Review of Books (Oct. 8, 2020)
China's Surveillance State Goes Global, The Atlantic (September 2020).
- The Center for AI and Digital Policy
“The United States must work with other democratic countries to establish red lines for certain A.I. applications and ensure fairness, accountability and transparency as A.I. systems are deployed . . . The rate of technological change is accelerating. Countries that seek to preserve fundamental rights must act before it is too late.”
"Algorithmic accountability is a complex topic, but the impact cuts broadly across life in America, from jobs and credit to housing and criminal justice."
“This critical question of automated decision-making lies at the heart of modern data protection law, ensuring fairness and transparency about the decisions impacting individuals.”
"Democratic countries should establish algorithmic transparency to ensure fairness and accountability in the digital world."
“I do want to emphasize how very important it is to move forward today on a project to establish algorithmic transparency and a set of framework principles for the deployment of AI that protects the interests of the individual.”
“As decisions are automated, processes become more opaque, less accountable. . . . At the intersection of law and technology — knowledge of the algorithm is a fundamental right, a human right”
- UNESCO Knowledge Café (Paris 2015)
"The United States needs comprehensive privacy legislation to safeguard the personal data of Americans. We must also establish an agency charged with advocating for the privacy interests of America. Surveillance technology takes hold quickly. There is not much time."