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20172026
most citedLearning Transferable Visual Models From Natural Language Supervision

5.3k citations · 10.5k across the 32 of their papers we have counts for

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Showing cs.CYShow all

7 papers · 1 filter

cs.CY2026★ 2 cited

International AI Safety Report 2026

Yoshua Bengio, Stephen Clare, Carina Prunkl +89

The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series…

cs.CY2026★ 1 cited

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies

Miles Brundage, Noemi Dreksler, Aidan Homewood +45

We outline a vision for frontier AI auditing, which we define as rigorous third-party verification of frontier AI developers' safety and security claims, and evaluation of their sy…

cs.CY2025

AI Behind Closed Doors: a Primer on The Governance of Internal Deployment

Charlotte Stix, Matteo Pistillo, Girish Sastry +6

The most advanced future AI systems will first be deployed inside the frontier AI companies developing them. According to these companies and independent experts, AI systems may re…

cs.CY2025★ 15 cited

International AI Safety Report

Yoshua Bengio, Sören Mindermann, Daniel Privitera +93

The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems. The report was mandated by…

cs.CY2024★ 22 cited

Computing Power and the Governance of Artificial Intelligence

Girish Sastry, Lennart Heim, Haydn Belfield +16

Computing power, or "compute," is crucial for the development and deployment of artificial intelligence (AI) capabilities. As a result, governments and companies have started to le…

cs.CY2023★ 148 cited

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

Josh A. Goldstein, Girish Sastry, Micah Musser +3

Generative language models have improved drastically, and can now produce realistic text outputs that are difficult to distinguish from human-written content. For malicious actors,…