G20 Rome Leaders Advance AI Policy, Elevate Privacy, Gender Equality, CAIDP Update 2.40 (Oct. 31, 2021)
European Parliament Moves to Ban Facial Surveillance, Predictive Policing, CAIDP Update 2.37 (Oct. 6, 2021)
Biometric and Behavioural Mass Surveillance in EU States, Report for the Greens/EFA in the European Parliament (Oct. 2021)
European Commission, Algorithmic
Brussels Privacy Hub
28 January 2022
International Association of Constitutional Law
Marc Rotenberg, CAIDP
9-11 February 2022
International Forum on Robotics, Automation, & Artificial Intelligence African Digital Week
22 February 2022
Merve Hickok, CAIDP
23-25 May 2022
Professor Ben Shneiderman
CAIDP Graduation Ceremony
17 December 2021
CAIDP Hosts Conference on Artificial Intelligence and Democratic Values, 10 November 2021
CAIDP Conversation with Former White House Advisor John Podesta, 4 November 2021
CAIDP meets with Members of the European Parliament AIDA Committee, Washington, DC, 4 November 2021
Marc Rotenberg, Foreword: Artificial Intelligence and Democratic Values: The Role of Data Protection, European Data Protection Law Review (Winter 2021)
review of the Age of AI by Henry Kissinger, Eric Schmidt, and Douglas Huttenlocher
Issues in Science and Technology
Next Steps on the AI Bill Of Rights, by Lorraine Kisselburgh and Marc Rotenberg, Washington Spectator (Nov. 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)
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 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)
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."