DATE: Thursday 23 January 2020
VENUE: Area 42 Petit
SLOT: 14.15
ORGANISED BY: Trust & Technology Initiative, University of Cambridge
MODERATOR: Jat Singh, University of Cambridge (UK)
SPEAKERS: Guy Cohen, Privitar (UK); Michèle Finck, Max Planck Institute for Innovation and Competition (DE); Caroline Louveaux, Mastercard (BE); Robert Riemann, EDPS (EU)
Panel Description
Artificial intelligence, machine learning, and analytics all entail computation over data. In many scenarios this will involve the processing of personal data. As such, there are on-going efforts towards technical methods for enabling more ‘privacy-oriented’ data processing. These methods aim at restricting and managing the information used or revealed by computational processes. Often collectively termed ‘Privacy Enhancing Technologies’ (PETs), the area is gaining attention, with some methods nascent and evolving. This panel will consider the data protection challenges and opportunities in the emerging PETs landscape, and the broader considerations that such technologies raise. The discussion will cover issues including:
The nature of PETs and their design
The implications of PETs on the analytics lifecycle
How industry might gain by deploying such methods
The considerations that PETs raise for supervisory authorities
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