CIPL Project on Artificial Intelligence and Data Protection:
Delivering Sustainable AI Accountability in Practice
Project Background
Significant advances in the analytical capacity of modern computers are increasingly challenging data protection laws and norms. Those advances are often described by the term “artificial intelligence” (or “AI”) a term that describes the broad goal of empowering “computer systems to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.” This one term encompasses a variety of technical innovations, each of which may present distinct challenges to data protection tools.
With this broad understanding of AI—encompassing, but not necessarily requiring big data, and extending from today’s smart machines to increasingly autonomous and nimble computers of the future—it is easy to see how data protection laws and norms might be challenged. The challenge, of course, is how to comply with these requirements when data are being used for unforeseen, unpredictable purposes, by advanced computational machines that are not always understood by their own programmers and will be increasingly programmed only by other computers. The challenges to data protection presented by AI are frequently remarked on, but usually addressed in policy settings only at a surface level. The result has been a fair amount of hand-wringing and assertions about the need to achieve the extraordinary advances AI makes possible while still complying with all applicable data protection laws. Often, this sounds like a call to do the impossible or face the threat of regulatory consequences. There is an urgent need for a more nuanced, detailed understanding, especially by regulators, of the opportunities presented by AI, and of potential challenges and practical ways of addressing them, in terms of both legal compliance and the ethical issues that AI may raise.
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Project Objectives
CIPL proposes a new project focusing on AI, its reliance on big data, and the evolution towards autonomous AI. The project will:
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Project Timeline
Phase 1: Develop white paper with CIPL members focusing on scope of AI Project.
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Project White Papers and Consultation Responses
CIPL Response to the EU Commission's AI White Paper
June 11, 2020
CIPL/Hunton Andrews Kurth Whte Paper - How the GDPR Regulates AI March 12, 2020 CIPL AI Second Report - Hard Issues and Practical Solutions February 27, 2020 CIPL AI First Report - Artificial Intelligence and Data Protection in Tension October 29, 2018 CIPL Response to ICDPPC Declaration on Ethics and Data Protection in Tension January 25, 2019 |
Project Events
CIPL Working Group Meeting on "Artificial Intelligence and Data Protection: Delivering Sustainable AI Accountability in Practice"
March 28, 2018 Washington, DC CIPL Accountable AI Roundtable at Brussels Tech Summit June 7, 2018 Brussels CIPL Accountable AI Workshop in the margins of 49th APPA Forum June 27, 2018 San Francisco CIPL Industry-only Working Session on AI and Data Protection October 23, 2018 Brussels CIPL ICDPPC Side Event on the Concept of "Fairness" in Data Protection October 23, 2018 Brussels CIPL/Singapore Personal Data Protection Commission (PDPC) Working Session on Accountable and Responsible AI November 16, 2018 Singapore CIPL Roundtable on Hard Data Protection Issues in AI March 12, 2019 London CIPL/New York Privacy Officers Forum (NYPOF) Meeting on “The Future of AI: How Artificial Intelligence is Upending the World of Data Protection” June 13, 2019 New York City CIPL Roundtable with EU Commission on High Level Expert Group Ethics Guidelines for Trustworthy AI June 27, 2019 Brussels CIPL/PDPC Joint Roundtable on "Personal Data Protection Challenges and Solutions in AI" July 18, 2019 Singapore CIPL/ UK Information Commissioner's Office (ICO) Roundtable on the ICO's AI Auditing Framework September 18, 2019 London |
AI-Related Speaking Engagements
CIPL Senior Policy Advisor and Indiana University Professor Fred Cate spoke on behalf of CIPL on “Consumer Protection Implications of Algorithms, AI and Predictive Analytics” at the US Federal Trade Commission’s hearings
November 13, 2018 Washington, DC CIPL Vice President & Senior Policy Counselor Markus Heyder led a discussion on "Regulatory Approaches to the Challenges of AI" at the 50th Asia-Pacific Privacy Authorities (APPA) Forum December 4, 2018 Wellington CIPL’s Director of Privacy Policy Nathalie Laneret spoke at Impact AI’s Roundtable January 25, 2019 Paris CIPL’s Director of Privacy Policy Nathalie Laneret spoke on "Privacy in the Era of Intelligent Machines - Designing AI Solutions that Protect People's Privacy and Data" at the 2019 GSMA Mobile World Congress February 27, 2019 Barcelona CIPL’s Director of Privacy Policy Nathalie Laneret spoke at POLITICO's 2019 AI Summit March 19, 2019 Brussels CIPL President Bojana Bellamy spoke at a panel on “When Digital Becomes Human” at the 2019 Teleperformance Leadership Insights Forum March 29, 2019 Barcelona |
Copyright © 2020 by the Centre for Information Policy Leadership at Hunton Andrews Kurth LLP.
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