Thanks to @geomblog.bsky.social, @scasper.bsky.social, @krisshrishak.bsky.social, @lucyq.bsky.social for helpful discussions and reviewing drafts! 💖 (6/6)

We conclude with a discussion of policy implications that centers on the consideration of business incentives that drive AI development, and we emphasize the importance of technological expertise in assessing whether these technologies fulfill their purported protections. (5/n)

Second, we investigate how emerging techniques, including open-source releases and alignment techniques, function as mechanisms of change. By championing industry-controlled standards, AI companies can direct focus away from regulatory oversight and toward a system of self-governance. (4/n)

First, we reveal how techniques like federated learning and synthetic data—framed as preserving privacy or reducing bias—operate as avoidance mechanisms. In attempts to place data operations outside traditional frameworks, these methods enable companies to sidestep existing data regulations. (3/n)

Using the framework of “anti-regulatory mechanisms”, developed in 2003 in response to the use of code to avoid copyright liability in a string of peer-to-peer network lawsuits, we catalog how this toolkit of technologies can also serve ulterior functions as mechanisms of legal influence. (2/n)

Thanks @robin.berjon.com !!

First up, on September 5 @ 6 pm ET: a grounding conversation about how AI technologies are reshaping daily life, featuring ‪D&S director of research @alicetiara.bsky.social, advisors @merbroussard.bsky.social & Mimi Ọnụọha, & board member @geomblog.bsky.social. www.showclix.com/event/unders...