CAIDP Comments on US AI Strategy to U S AI Commission, CAIDP Update 2.09 (Mar. 1, 2021)
Speaking to G7 Leaders, President Biden Calls for AI Rules that "Lift People Up," CAIDP Update 2.08 (Feb. 22, 2021)
Leading Mexican Senator Seeks to Promote Internet Access, Limit AI Cancellation, CAIDP Update 2.07 (Feb. 15, 2021)
Canadian Privacy Commissioners Determine that Clearview is Illegal, CAIDP Update 2.06 (Feb. 8, 2021)
Council of Europe Proposes Ban on Facial Recognition Techniques, CAIDP 2.05 (Feb. 1, 2021)
President Von der Leyen Welcomes Biden Administration, Proposes Common Digital Agenda, Pursues AI Accord, CAIDP Update 2.04 (Jan. 25, 2021)
US FTC Requires Deletion of AI Models Developed from Data Unfairly Obtained, CAIDP Update 2.03 (Jan. 18, 2021)
Italian Court Determines Employee Evaluation Algorithm is Unfair, CAIDP Update 2.02 (Jan. 11, 2021)
The CAIDP Team: AI Policy Issues to Watch in 2021, CAIDP Update 2.01 (Jan. 4, 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
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).
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)
Karen Hao, OpenAI is giving Microsoft exclusive access to its GPT-3 language model, MIT Technology Review (Sept. 23, 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)
Carly Kind, The Term "Ethical AI" is Finally Starting to Mean Something, VentureBeat (Aug. 23, 2020)
China's Surveillance State Goes Global, The Atlantic (September 2020).
Breaking Through The Bias in AI
UNESCO
March 8, 2021
"There's an urgent need for more women to participate in and lead the design, development, and deployment of AI systems. Evidence shows that by 2022, 85% of AI projects will deliver erroneous outcomes due to bias."
Center for a AI and Digital Policy
with Director Shalini Kantayya and CAIDP's Merve Hickok
April 8, 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).
Computers, Privacy and Data Protection
January 27-29, 2021
Artificial Intelligence and Democratic Values
Michael Dukakis Institute
December 12, 2020
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)
Marc Rotenberg, The Tech Giants Come to Congress, and Democracy Wins a Round, Washington Spectator (August 12, 2020)
Marc Rotenberg, Save the .ORG domain and all it symbolizes, The Hill (December 8, 2019)
Marc Rotenberg, The Battle Over Artificial Intelligence, New York Times (April 16, 2019)
Marc Rotenberg, America Needs a Privacy Law, New York Times (December 25, 2018)
Marc Rotenberg, After Latest Facebook Fiasco, Focus Falls on Federal Commission, Techonomy (December 21, 2018)
Marc Rotenberg, Democracy and the Internet, New York Times (October 8, 2018)
Marc Rotenberg, Regulating Privacy, New York Times (May 6, 2018)
Marc Rotenberg, The Facebook-WhatsApp Lesson: Privacy Protection Necessary for Innovation, Techonomy (May 4, 2018)
Marc Rotenberg, When the Government is Watching You, New York Times (March 28, 2017)
Marc Rotenberg, Bias by Computer, New York Times (August 10, 2016)
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.
ORDER The AI Policy Sourcebook 2020 »
The Privacy Law Sourcebook 2020, edited by Marc Rotenberg, includes major US privacy laws, the GDPR, the Council of Europe Privacy Convention, and related materials.
Nazli Choucri, Nguyen Ann Tuan, Marc Rotenberg, “Social Contract for the Artificial Intelligence Age - Safety, Security, & Sustainability for AI World," Proceedings of the Riga Conference (November 2020)
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)
Kai Strittmatter, We Have Been Harmonized: Life in China's Surveillance State (2020)
(Forthcoming October 2020)
Frank Pasquale, New Laws of Robotics: Defending Human Expertise in the Age of AI (2020)
"This book is about the power of algorithms in the age of neoliberalism and the ways those digital decisions reinforce oppressive social relationships and enact new modes of racial profiling . . ."
Safiya Umoja Noble, Algorithms of Oppression : How Search Engines Reinforce Racism (2018)
"Simulmatics failed but not before its scientists built a very early version of a machine . . . that manipulates opinion, exploits attention, commodifies information, divides voters, fractures communities, alienates individuals, and undermines democracy."
Jill Lepore, If Then: How the Simulmatics Corporation Invented the Future (2020)
"We humans tend to overestimate AI advances and underestimate the complexity of our own intelligence."
Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans (2019)
"The human principle stands against the machine principle. . . ."
- Paul Nemitz and Matthias Pfeffer, The Human Principle. Power, Freedom and Democracy in the Age of Artificial Intelligence (2020) (in German)
How we choose to control AI is “possibly the most important question facing humanity”
- Stuart Russell, Human Compatible: Artificial Intelligence and the Problem of Control (2019)
"The more that people believe in a positive future for technology, the greater the chance there is of having one."
-Garry Kasparov, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins (2018)
". . . the question is whether every aspect of human thought is reduceable to a logical formalism . . . whether human thought is entirely computable."
-Joseph Weizenbaum,
Computer Power and Human Reason: From Judgment to Calculation (1976)
- 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.”
- 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)