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:
