AI Epistemic Risks: Emerging Mechanisms & Evidence
<p>Advances in artificial intelligence pose risks to humanity's collective capacity to form accurate beliefs, reason well, and maintain a healthy information en
AI Epistemic Risks: Emerging Mechanisms & Evidence
<p>Advances in artificial intelligence pose risks to humanity's collective capacity to form accurate beliefs, reason well, and maintain a healthy information en
AI False Claims Monitor
As the domain experts in data reliability in the topic of news and information, NewsGuard provides the leading red-teaming analysis for information reliability. AI models continue to face significant challenges in ensuring their models provide safe, accurate responses to prompts instead of spreading false claims on the internet or refusing to respond to topics in the news.
What It Now Takes to Establish a Fact
Hilke Schellmann & Mihir Kshirsagar from Princeton CITP on findings from a convening on information integrity, authentication and verification in the age of AI.
People are not friction
The Gell-Mann Amnesia Effect of AI is a pretty well documented phenomenon: The Gell-Mann amnesia effect is a cognitive bias describing the tendency of individuals to critically assess media reports in a domain they are knowledgeable about, yet continue to trust reporting in other areas despite recognizing similar potential inaccuracies.
Epistemological Fault Lines Between Human and Artificial Intelligence
Large language models (LLMs) are widely described as artificial intelligence, yet their epistemic profile diverges sharply from human cognition. Here we show that the apparent alignment between...
We're not taking the fact-checking powers of AI seriously enough. It's past time to start.
Some notes on the Nobel Prize hallucination that wasn't
Reify This
The authors contend that contemporary efforts to render AI systems interpretable rest on a mistake: reification, the process of treating abstractions and statistical artifacts as if they were concrete realities.…
LinkedTrust — Deep Tech. Human Trust.
Verified trust systems, civic tech platforms, and AI-powered tools. Real projects, real impact.
Deepfakes, Elections, and Shrinking the Liar’s Dividend
Heightened public awareness of the power of generative AI could give politicians an incentive to lie about the authenticity of real content.
Our AI Philosophy | Typefully
Social media runs on an implicit contract: I write something, you follow me, you read it, and you trust it came from a human mind. AI writing is curr…
Compare CIRIS: Verifiable Ethical AI vs the Alternatives, With Receipts
How CIRIS's signed, on-device, checkable ethical AI stacks up against the alternatives — the safety case, with receipts.
Operadic consistency: a label-free signal for compositional...
Detecting LLM reasoning failures at inference time without ground-truth labels has motivated a wide range of confidence baselines, including self-consistency, semantic entropy, and P(True), built...
AI Tools for Trust: Community Notes, Rhetoric Detection & More
Five AI technologies to combat misinformation: community notes, rhetoric detection, reliability tracking, epistemic evals, and provenance tracing.
AI and the Wisdom of Uncertainty
AI chatbots rarely say "I don't know," and neither, increasingly, do we. But we can cultivate our epistemic resilience.
Deepfakes, Scams, and the Age of Paranoia
As AI-driven fraud becomes increasingly common, more people feel the need to verify every interaction they have online.
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systems, persistence, data architecture, knowledge representation, and open-source practice.