Join ASML for the launch of Transparency Hub, a new platform designed to compare the data practices of consumer-facing social and technology applications.
Presented with HLS Beyond, TechReg Reading Group in spring 2026 has officially begun. Professor Alan Raul will be leading 3 sessions in spring 2026 on TechReg in AI under the Trump Administration (see ...
Transparency Hub is a project of the Applied Social Media Lab (ASML), an applied engineering lab that brings together a team of technologists and practitioners to reboot, rebuild, and reimagine the ...
At a recent panel convened by the Weatherhead Center for International Affairs, BKC Affiliate Bruce Schneier spoke on the threats and opportunities presented by governments worldwide adopting AI tools ...
Trebor Scholz and Mark Esposito provide guidance for building community-owned alternatives to extractive AI systems.
Affiliate Ram Shankar Siva Kumar and coauthors "present a practical scanner for identifying sleeper agent-style backdoors in causal language models." ...
Bruce Schneier and Nathan Sanders discuss media outlets being inundated with a high volume of AI-generated text, swamping traditional editorial models.
Research by Faculty Associate James Riley suggests that resistance to AI automating jobs arises not from ethical objections about devaluing human labor, but from concerns about the feasibility of this ...
Faculty Associate Virgilio Almeida and coauthors explore governance structures and forms of institutional oversight to maintain human control over agentic AI.
Faculty Associate George Chalhoub is quoted in Fortune, offering a reflection on Moltbook that underscores how large-scale agent-to-agent interaction surfaces systemic vulnerabilities in current AI ...
Professor Gabriel Weil will discuss the role that tort law can play in compelling AI companies to internalize the risks ...
How can large language models (LLMs) transform the way lawyers, researchers, and the public interact with the law? Join us for a hands-on conversation about the potential of LLMs to make sense of ...