Privacy’s Redefinition Through Artificial Intelligence

Online webinar / recording

Professor Joshua Fairfield (School of Law, Washington and Lee University): Training Privacy: Privacy’s Redefinition Through Artificial Intelligence

The School of Accounting and Commercial Law of the Victoria University of Wellington together with the Privacy Foundation New Zealand were delighted to invite everyone to attend a public lecture by Prof Joshua Fairfield.

Abstract:

The meaning of practical privacy comes from its lived experience in context. Privacy’s meaning shifts as a function of transaction costs. What we thought of as civil liberties were often simply the experience of being left alone because it is too expensive to intrude into private life. The experience of surveillance capitalism — the tracking of our data through our own devices and the data exhaust they produce, our clickstream, search, and location data — is one example. But that is last decade’s problem. The current problem of privacy is that neural nets, trained on human data, both exploit that data at the expense of people who fit similar data profiles, and reveal that data in peculiar ways when coaxed through appropriate prompts. This seminar explores the way in which the lived experience of privacy will shift in light of generative AI technologies.

The recording of the lecture can be found here.