CIPL Project on Artificial Intelligence and Data Protection:
Delivering Sustainable AI Accountability in Practice
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.
CIPL proposes a new project focusing on AI, its reliance on big data, and the evolution towards autonomous AI. The project will:
Phase 1: Develop white paper with CIPL members focusing on scope of AI Project.
Project White Papers and Consultation Responses
CIPL Working Group Meeting on "Artificial Intelligence and Data Protection: Delivering Sustainable AI Accountability in Practice"
March 28, 2018
CIPL Accountable AI Roundtable at Brussels Tech Summit
June 7, 2018
CIPL Accountable AI Workshop in the margins of 49th APPA Forum
June 27, 2018
CIPL Industry-only Working Session on AI and Data Protection
October 23, 2018
CIPL ICDPPC Side Event on the Concept of "Fairness" in Data Protection
October 23, 2018
CIPL/Singapore Personal Data Protection Commission (PDPC) Working Session on Accountable and Responsible AI
November 16, 2018
CIPL Roundtable on Hard Data Protection Issues in AI
March 12, 2019
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
CIPL/PDPC Joint Roundtable on "Personal Data Protection Challenges and Solutions in AI"
July 18, 2019
CIPL/ UK Information Commissioner's Office (ICO) Roundtable on the ICO's AI Auditing Framework
September 18, 2019
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
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
January 25, 2019
February 27, 2019
March 19, 2019
CIPL President Bojana Bellamy spoke at a panel on “When Digital Becomes Human” at the 2019 Teleperformance Leadership Insights Forum
March 29, 2019