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/Singapore Personal Data Protection Commission (PDPC) Working Session on Accountable and Responsible AI
16 November 2018
CIPL/Singapore Personal Data Protection Commission (PDPC) Workshop on "Roles of Certifications in Personal Data Protection"
15 November 2018
CIPL Accountable AI Workshop in the margins of 49th APPA Forum
27 June 2018
CIPL Accountable AI Roundtable at Brussels Tech Summit
7 June 2018
CIPL Working Group Meeting on "Artificial Intelligence and Data Protection: Delivering Sustainable AI Accountability in Practice"
March 28, 2018