9 citations · 19 across the 12 of their papers we have counts for
5 papers · 1 filter
Computational Compliance for AI Regulation: Blueprint for a New Research Domain
Bill Marino, Nicholas D. Lane
The era of AI regulation (AIR) is upon us. But AI systems, we argue, will not be able to comply with these regulations at the necessary speed and scale by continuing to rely on tra…
AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance
Bill Marino, Rosco Hunter, Christoph Schnabl +9
As governments move to regulate AI, there is growing interest in using Large Language Models (LLMs) to assess whether or not an AI system complies with a given AI Regulation (AIR).…
Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm
Bill Marino, Ari Juels
There is growing interest in giving AI agents access to cryptocurrencies and smart contracts. But doing so, this position paper argues, could spawn categorically new vectors of AI…
Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments
Christoph Schnabl, Daniel Hugenroth, Bill Marino +1
Benchmarks are important measures to evaluate safety and compliance of AI models at scale. However, they typically do not offer verifiable results and lack confidentiality for mode…
Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain
Bill Marino, Yaqub Chaudhary, Yulu Pi +6
As the AI supply chain grows more complex, AI systems and models are increasingly likely to incorporate multiple internally- or externally-sourced components such as datasets and (…