David Rand

@dgrand.bsky.social

Prof at Cornell studying how human-AI dialogues can correct inaccurate beliefs, why people share falsehoods, and ways to reduce political polarization and promote cooperation. Computational social science + cognitive psychology. https://www.DaveRand.org/

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Do our social media algorithms correctly reflect our values? Our new article published today in @pnas.org shows that the answer is often not, and that the content that gets promoted into their ranked feeds is often actively counter to our values.

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It's been a real joy to return as a faculty member to my hometown and alma mater Cornell. This profile charts a bit of that journey - along with my thoughts on what punk rock and professing have in common, plus fun oldtime photos alumni.cornell.edu/cornellians/...

How Is Academia Like Punk Rock? Ask Cornell Prof David Rand ’04 - Cornellians | Cornell University

Back at his alma mater, he’s making headlines for groundbreaking research melding AI, psychology, economics, poli sci, and more

alumni.cornell.edu

It's been a real joy to return as a faculty member to my hometown and alma mater Cornell. This profile charts a bit of that journey - along with my thoughts on what punk rock and professing have in common, plus fun oldtime photos alumni.cornell.edu/cornellians/...

How Is Academia Like Punk Rock? Ask Cornell Prof David Rand ’04 - Cornellians | Cornell University

Back at his alma mater, he’s making headlines for groundbreaking research melding AI, psychology, economics, poli sci, and more

alumni.cornell.edu

Humanity's ability to know, reason, judge, and act well is the foundation of science, democracy, crisis response, & management of AI itself. AI poses serious risks to that foundation. New paper on epistemic risks by 30 experts calls for attention and proposes solutions. Link in thread.

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The Wall Street Journal had a conversation with @dgrand.bsky.social, a professor at Cornell University and co-author of the three papers, about how debunkbots can talk people out of believing conspiracy theories and what humans can learn from the endeavor. (WSJ-unlocked) www.wsj.com/tech/ai/ai-d...

How AI Talks People Out of Conspiracy Theories—and What We Can Learn From That

Research shows that the key is to clearly explain relevant facts. That isn’t always easy to do.

wsj.com

There has been a LOT of research on misinformation over the last decade. In a new paper (for Annual Review of Psychology), @dgrand.bsky.social and I attempt to distill the key points of consensus, highlight major disagreements, and point to future directions. papers.ssrn.com/sol3/papers....

<p>Consensus, Disagreements, and Open Questions in the Psychology of Misinformation</p>

Research on misinformation has expanded rapidly over the past decade. This review examines areas of consensus and contention within the literature on misinforma

papers.ssrn.com

New in Nature: LLMs give "the party line" in the languages of authoritarian regimes. This works when they control the media, which feeds pretraining data. We show more state control over the media means less critical LLMs. 6 studies spanning 38 languages & 13 models. Details ↓

Scatter plot of 38 countries plus China showing the proportion of LLM responses favorable to the regime in the local language vs. World Press Freedom Index score. Lower press freedom predicts more regime-favorable responses; all production models pooled.

Three BIG shifting dynamics: • Algorithms are dominating. • AI content generation is breaking the link between platforms and human content creation. • Public posting is decreasing dramatically, with conversations moving to non-public facing channels. Read more:

Petter Törnberg@pettertornberg.com · 6mo ago

Social media is no longer social. Most of it is passive viewing of videos and pictures from people we've never met. But we're still studying social media like it's 2010. We've entered the post-social media era — and research needs to catch up. osf.io/preprints/so... preprint w/ Richard Rogers