activity
20192025
most citedAuditing large language models: a three-layered approach

219 citations · 641 across the 20 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CY2024★ 2 cited

Safety case template for frontier AI: A cyber inability argument

Arthur Goemans, Marie Davidsen Buhl, Jonas Schuett +4

Frontier artificial intelligence (AI) systems pose increasing risks to society, making it essential for developers to provide assurances about their safety. One approach to offerin…

cs.CY2024★ 3 cited

Safety cases for frontier AI

Marie Davidsen Buhl, Gaurav Sett, Leonie Koessler +2

As frontier artificial intelligence (AI) systems become more capable, it becomes more important that developers can explain why their systems are sufficiently safe. One way to do s…

cs.CY2024★ 1 cited

A Grading Rubric for AI Safety Frameworks

Jide Alaga, Jonas Schuett, Markus Anderljung

Over the past year, artificial intelligence (AI) companies have been increasingly adopting AI safety frameworks. These frameworks outline how companies intend to keep the potential…

cs.CY2024★ 2 cited

From Principles to Rules: A Regulatory Approach for Frontier AI

Jonas Schuett, Markus Anderljung, Alexis Carlier +2

Several jurisdictions are starting to regulate frontier artificial intelligence (AI) systems, i.e. general-purpose AI systems that match or exceed the capabilities present in the m…

cs.CY2024★ 4 cited

Risk thresholds for frontier AI

Leonie Koessler, Jonas Schuett, Markus Anderljung

Frontier artificial intelligence (AI) systems could pose increasing risks to public safety and security. But what level of risk is acceptable? One increasingly popular approach is…