"A world where there is no N.S.F. funding for social science, but where the A.I. industry funds research... will skew public debate. To navigate the shock waves of A.I., we must restore social science research as an enterprise that starts from the public interest." www.nytimes…
J. Nathan Matias
Researcher with public evidence across AI business, AI research.
- AI signals
- 13 past 30d
- Sources
- 11 distinct domains
- Discusiones
- 22 past 30d
- Latest signal
- 5h ago
Articles & links
“solving problems is only a tool and proxy for achieving the primary goal of conceptual understanding and insight” mathandai.org
In "Proprietary LLMs impede scientific transparency and reproducibility," @killianmcloughlin.bsky.social, Alexis Palmer, @mjcrockett.bsky.social and I explain how the rush for LLMs in social science is destabilizing scientific reliability www.nature.com/articles/s44... @natrev…
In case you've been wondering about the viability of AI simulated surveys, Pew has offered in-depth reporting on their experiment with simulated survey participants. By Athena Chapekis, Arnold Lau, Samuel Bestvater, Sono Shah, Andrew Mercer, Aaron Smith www.pewresearch.org/dat…
- Pew tested AI 'digital twins' on nearly 300 real survey questions; synthetic answers missed human responses by an average of 12 percentage points.
- The model stereotyped badly, predicting 97% of Hispanic adults follow the World Cup when the actual share is 43%.
- Human respondents chose 'not sure' about four times more often than the AI; GPT-5.1 and Claude Opus 4.6 also produced substantially different answers.
Years ago, Christian Sandvig predicted that companies would convert email it into yet another feed they could control, datamine, and advertise on as it became the last place that people and publishers could use to guarantee interpersonal information delivery. www.theverge.com/…
People often pitch AI as unprecedented. But what if we already have the organizational tools to evaluate & negotiate its use? Our new book Auditing AI opens in the 1980s with the story of the US Network for Organ Sharing how how they test & decide on their algorithms direct.mi…
"Auditing AI" is open access. We wrote it for leaders / organizers of all kinds who want to *do something* about AI, so if you want to read it for yourself, you can find it here. If you find it useful and share it with your communities, let us know! direct.mit.edu/books/book/6...
"OpenAI has indicated total disregard for the norms of scientific research — norms that guarantee that mathematics remains trustworthy, ethically researched, and in the public interest... We reject OpenAI's assertion that this release advances our subject" www.ahmath.org/state…
Recent commentary
Hello statisticians of Bluesky, I'm attending the Joint Statistical Meetings for the first time and would love to say hello! I'll be speaking on community science on Monday at 10:30 and would love to connect with others who working on AI + behavior + rights + participatory science #JSM2026
Ohai @mitpress.bsky.social - happy to see our book on Auditing AI out in the wild!
Enjoyed speaking at @sfiscience.bsky.social Tues on the importance of centering affecting communities in the science & policy of AI Grateful for collaborators Avriel Epps, Lucas Wright, Alexandra Gonzalez, @sarahagilbert.bsky.social, & Megan Price Also grateful for a ride in the Jemez Mountains 🌄
In J. Nathan Matias's orbit
Center = J. Nathan Matias. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.
Are you J. Nathan Matias? Show it.
Add the Who’s Who of AI badge to your site or bio. It links back to this profile.
Markdown: [](https://aiweekly.co/whos-who/person/natematias-bsky-social)