News
G7 Leaders Endorse Human-Centric AI, Call Out AI Bias, CAIDP Update 2.24 (June 14, 2021)
US Announces National AI Task Force, Advisory Committee to Follow, CAIDP Update 2.23 (June 10, 2021)
US Defense Department Affirms Guidance for Responsible AI, CAIDP Update 2.22 (May 31, 2021)
Slovenia, as EU President, to Highlight AI, CAIDP Update 2.21 (May 24, 2021)
U.S. Launches AI.gov, CAIDP Update 2.19 (May 10, 2021)
China Moves Forward Data Protection / AI Law, CAIDP Update 2.17 (May 9, 2021)
US Japan to Align on AI Policy? CAIDP Update 2.16 (Apr. 21, 2021)
EU AI Regulation will Establish "Red Lines" for AI, CAIDP Update 2.15 (Apr. 14, 2021)
New AI Research Center Launched, UNESCO Ethics Resolution Moves Forward, CAIDP Update 2.14 (Apr. 5, 2021)
Dutch Uber Case Highlights Concerns About AI Decision-making, CAIDP Update 2.13 (Mar. 29, 2021)
The Need for a Strong Privacy Law, CAIDP Update 2.12 (March 22, 2021)
CAIDP, Michael Dukakis Institute, and Boston Global Forum to Host Screening of Coded Bias, CAIDP Update 2.11 (March 15, 2021)
Global AI Policy News (March 2021), CAIDP Update 2.10 (Mar. 8, 2021)
Resources
European Commission, Algorithmic
discrimination in Europe Challenges and opportunities for gender equality and non-discrimination law (2021)
Fundamental Rights Agency, Getting the Future Right: AI and Fundamental Rights (Dec. 2020)
Access Now and EDRi - Attention EU regulators: we need more than AI “ethics” to keep us safe (Oct. 21, 2020)
G20 Digital Economy Task Force - Examples of National AI Policies (2020)
Council of Europe - First Progress Report of the Ad hoc Committee on Artificial Intelligence (CAHAI) (Sept. 2020)
UNICEF - Policy Guidance on AI for Children
Notable
Ad Hoc Committee on Artificial Intelligence (CAHAI) of the Council of Europe
January 14, 20201
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)
GPT-3, A robot wrote this entire article. Are you scared yet, human? The Guardian (Sept. 8, 2020)
China's Surveillance State Goes Global, The Atlantic (September 2020).
Upcoming AI Events
Global Privacy Assembly - #GPA2021
National Institute for Transparency, Access to Information and Personal Data Protection
Mexico City, Mexico
18-21 October 2021
[Register]
CAIDP Statements
CAIDP Statement to African Commission on Human and Peoples' Rights regarding Resolution 473 (Apr. 5, 2021)
CAIDP Statement to Government of Colombia on Intersectoral Commission for AI (Ap. 5, 2021) [in English] [in Spanish]
CAIDP Statement to House Armed Services Committee regarding US AI Policy (Mar. 25, 2021)
CAIDP Statement to G20 Digital Economy Task Force (Mar. 17, 2021)
CAIDP Statement in support of European Citizen Initiative to Ban Biometric Mass Surveillance (Mar. 3, 2021)
CAIDP Statement on "External Dimensions of AI" for European Parliament (Mar. 1, 2021).
CAIDP Statement on draft, final report of US National Security Commission on AI (Feb. 26, 2021).
CAIDP Events
Commentary
Maintaining Control Over AI, Marc Rotenberg responds to Ben Shneiderman on Human-Centered AI, Issues in Science and Technology (Spring 2021)
Marc Rotenberg, The Need for Strong Privacy Law, The New York Times (March, 15, 2021)
Marc Rotenberg, Il futuro della privacy e la vivacità della democrazia in Privacy 2030: Una nuova visione per l’Europa (The Mainfesto of Giovanni Butarelli) (Sept. 2020) (in English)
Reference Books
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.
Recent Publications
Marc Rotenberg, "Schrems II, from Snowden to China: Toward a New Alignment on Transatlantic Data Protection," European Law Journal (September 2020)
AI and Ethics, Volume 1, issue 1, February 2021 (Springer)
Lessons learned from AI ethics principles for future actions,
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)
Recommended Reading
"AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind 'automated' services, to the data AI collects from us."
Kate Crawford, Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (2021)
". . . a world where technology promotes broad social inclusion based on fundamental rights, democratic institutions, and the rule of law."
- The Center for AI and Digital Policy
Marc Rotenberg – Commentary on AI 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.”
- The Battle Over Artificial Intelligence (New York Times 2019)
"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."
- Surveillance in China: Implications for Americans (New York Times 2019)