AI Is Stress-Testing Privacy Law, Says Future of Privacy CEO

Source Domain: www.medianama.com

Jules Polonetsky is the CEO of the Future of Privacy Forum (FPF), a nonprofit that convenes industry, civil society, academics, and regulators around emerging data protection and privacy questions. A former Chief Privacy Officer at AOL and DoubleClick, with earlier government experience, he has spent decades working at the intersection of technology, business practice, and regulation. Today, FPF operates with teams in Washington, Brussels, Singapore and New Delhi with additional coverage across Africa and Latin America, and focuses on mapping how different jurisdictions approach privacy and AI, and on helping policymakers and regulators understand the real-world consequences of their choices.

In this interview, on the sidelines of the AI Summit in India, we sat down to discuss how AI stress-tests core data-protection ideas, consent, opt-outs and legitimate interest, erasure, and purpose limitation, especially when models are trained on scraped “public” data and when autonomous agents begin acting across services.

Here is the full excerpt of the interview.

Table of contents for the interview

Privacy vs AI the Greater Common Good
Does Consent have a future?
On right to erasure, privacy and scraping of public data
The politics of AI
On Deepfakes, information asymmetry, pricing and the limits of privacy law
Privacy and autonomous agents
On spatial intelligence, wearables and bystander privacy

—————————————————————————————————————-

1. Privacy vs AI the Greater Common Good

Nikhil Pahwa: Help me resolve a tension. About a year ago, I went for an AI health test. The consent form required me to give my data to the AI for the betterment of society. I declined, so we didn’t do the test. People asked, ‘Don’t you want to give your data for the betterment of society and healthcare?’ This seems to be a new tension in data protection, where…

Source