arXiv AI By Stephen Casper, Luke Bailey, Tim Schreier

Practical Principles for AI Cost and Compute Accounting

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The article proposes seven principles for AI cost and compute accounting to address regulatory challenges. It argues that policymakers use cost and compute as proxies for AI capabilities and risks, and that current technical ambiguities create loopholes. The principles aim to reduce gaming, avoid discouraging risk mitigation, and enable consistent implementation across companies and jurisdictions.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Aug 18

Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws

The paper argues that AI governance should rely on ISO-like interoperability protocols rather than solely on jurisdiction-specific laws. It proposes standardized AI nutrition labels that include metrics for bias, energy usage, and data provenance to enable machine‑readable risk communication across borders. These protocols aim to reduce regulatory fragmentation, lower barriers for SMEs, and build public trust while allowing modular evolution with technology.

By Azmine Toushik Wasi, Mst Rafia Islam, Mahfuz Ahmed Anik, Taki Hasan Rafi, Md Manjurul Ahsan, Dong-Kyu Chae
arXiv AI
Aug 18

An Evaluation Framework for National AI Regulation

arXiv:2608. 15417v1 Announce Type: cross Abstract: Governments use laws, institutions, funding programs and nonbinding guidance to shape how AI is developed and used.

By Kaushik Sanjay Prabhakar, Tarun Adarsh R S, Amal Dhivyan Gregory, Sreeparvathy Sajeev, Utkarsh Tomar, Avyay M Casheekar