Alex Engler

In the @inquirer.com, @geurkink.bsky.social clearly lays out the unambiguous reality that the Trump administration is engaging in a censorship campaign against researchers of technology companies and the information ecosystem. www.inquirer.com/opinion/comm...

The U.S. is targeting the researchers who help us understand the effects of social media | Opinion inquirer.com

Generally agree! In your thinking, does the "how" that compute is used matter for it to be a reasoning model? For instance, this paper makes claims about what methods count as reasoning (tho I'm not sure I buy this) arxiv.org/pdf/2501.11223

arxiv.org

I just learned about ORES at a conference on Friday and think it's fantastic. I'm reading what you sent over + also just found this preprint (Bye Bye Perspective API) arxiv.org/pdf/2604.25580

arxiv.org

I learned a lot from @bankston.bsky.social's long post on the debate over the AI Preferences technical standard, and strongly recommend it. It is among the most essential issues for the future of the internet and access to information. cdt.org/insights/wil...

cdt.org

SAGA is a meaningful step in this direction, recognizing we need to broadly empower sectoral regulators to govern AI. SAGA's text would benefit from more specific authorities (see my paper or oped) but I’m glad to see this bill has gone through the House hopper www.techpolicy.…

Proposing the CASC: A Comprehensive and Distributed Approach to AI Regulation techpolicy.press

My takeaway is we need sectoral governance of AI, where agencies have the domain knowledge, technical expertise, digital infrastructure, and regulatory authorities to effectively govern AI systems within their domains. Here's the original @brookings.edu paper: www.brookings.ed…

A comprehensive and distributed approach to AI regulation | Brookings brookings.edu

In my first piece in 3 years (!), Danaé Metaxa and I write for @carnegieendowment.org on why we need a new paradigm of scientific research for AI—longitudinal monitoring—to ensure the public has a meaningful say in the societal role of LLMs. carnegieendowment.org/research/202...

We Need Ongoing Monitoring of AI and Political Information carnegieendowment.org

Great paper from Duncan Watts: LLM-based content reranking improves personalization & aligns video recommendations more closely to users’ prior viewing. Very interesting tho unclear if there is significant deployment of LLM-based recommenders systems at present? infodem.upenn.…

Research Compendium - Center on Media, Technology and Democracy infodem.upenn.edu

After three years of quiet work and debate, Congresswoman @sarajacobs.house.gov introduced the Sectoral AI Governance Act (SAGA), looking to empower federal agencies to better regulate AI. sarajacobs.house.gov/news/press-r...

Rep. Sara Jacobs Introduces Bill to Hold AI Accountable For Breaking the Law | U.S. Congresswoman Sara Jacobs Of California sarajacobs.house.gov

I think it's true that AI has important implications for national security. However, the overwhelming majority of people who make this argument are making underspecified claims about how and in what specific systems, making most of the related analysis or conclusions useless.

Writing about automated content moderation - it's amazing how many papers were focused on toxicity, with the comparison point being the Perspective API The sunsetting of the API means a loss for reproducibility And, this will probably be the case for many papers based on commercial LLMs

I just finished the first real draft (ready for reviewers) of a paper since I published on AI in housing valuations in October 2023 (the day I joined Biden admin) Was a real battle to get back to research/writing but it feels good now