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3 resources

jeffsebo.net
Free
Website
Technology & Ethics

Jeff Sebo

The personal site of Jeff Sebo, Associate Professor of Environmental Studies at New York University, where he directs the Center for Environmental and Animal Protection and the Center for Mind, Ethics, and Policy and co-directs the Wild Animal Welfare Program. His work examines how to build a just future for all sentient beings, with research on the nature and intrinsic value of nonhuman minds — including invertebrates and AI systems. The site links to his research, teaching, media appearances and the centers he leads.

#AI welfare#animal ethics#philosophy
jeffsebo.netAdded Oct 2, 20260 opens
eprint.iacr.org
Free
Publication
Technology & Ethics

How To Think About End-To-End Encryption and AI (NYU / Cornell, 2025)

A free 2025 paper by Mallory Knodel, Sunoo Park, Kyunghyun Cho and colleagues at NYU and Cornell examining whether AI assistants and end-to-end encryption can honestly coexist. It covers two cases — putting an AI assistant inside an encrypted app, and training models on encrypted data — sets out where each breaks the security promise encryption makes, works through the legal consequences when a provider keeps saying "end-to-end encrypted" anyway, and ends with concrete recommendations on default settings, consent and what providers may truthfully claim.

Why I recommend it: Read the recommendations section even if you skip the cryptography. It gives you the exact questions to put to any product that advertises both an AI helper and private messaging — where does the processing happen, what is the default, and what were you actually asked to agree to. Two flags: it is posted to a preprint archive, so it has not been through journal peer review, and the authors published plain-language summaries on the NYU DeTaIL Lab blog and Tech Policy Press if the full paper is heavy going.

#ai ethics#ai privacy#consent
eprint.iacr.orgAdded Sep 23, 20260 opens
stern.nyu.edu
Free
Organization
Entrepreneurship & Free Tools

NYU Stern Endless Frontier Labs

Mentor-driven program for early-stage deep-tech and science startups run out of NYU Stern.

Why I recommend it: Best fit if you have real technical IP. Read the mentor list before applying and shape your application around who is actually in the room.

#accelerator#deep-tech#entrepreneurship
stern.nyu.eduAdded Aug 30, 20260 opens