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20232026
most citedOn the Societal Impact of Open Foundation Models

11 citations · 19 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CY2026

The 2026 Singapore Consensus on Global AI Safety Research Priorities

Stephen Casper, Oskar Galeev, Yoshua Bengio +117

Frontier AI capabilities and autonomy are advancing rapidly. A growing number of real-world incidents make a trusted AI ecosystem essential to embracing AI with confidence. The 202…

cs.CY2026

Next-Billion AI Index: The compass for AI utility and adoption in the global majority

Ambrish Rawat, Jessica He, Subhabrata Majumdar +6

Generative AI assessments remain dominated by frontier capability benchmarks that often fail to capture whether systems can be sustainably deployed, adapted, and trusted in locally…

cs.CY2025

Ask What Your Country Can Do For You: Towards a Public Red Teaming Model

Wm. Matthew Kennedy, Cigdem Patlak, Jayraj Dave +10

AI systems have the potential to produce both benefits and harms, but without rigorous and ongoing adversarial evaluation, AI actors will struggle to assess the breadth and magnitu…

cs.CY2024★ 11 cited

On the Societal Impact of Open Foundation Models

Sayash Kapoor, Rishi Bommasani, Kevin Klyman +22

Foundation models are powerful technologies: how they are released publicly directly shapes their societal impact. In this position paper, we focus on open foundation models, defin…

cs.CY2023★ 6 cited

Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework

Markus Anderljung, Everett Thornton Smith, Joe O'Brien +7

With the increasing integration of frontier large language models (LLMs) into society and the economy, decisions related to their training, deployment, and use have far-reaching im…