1 citations · 2 across the 10 of their papers we have counts for
10 papers
Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It
Ze Shen Chin, Maurice Chiodo, Dennis Müller +1
At present, loss of control risks have gained much prominence in public discussion, particularly in relation to AI, with extensive discourse present among academics, frontier labs,…
Open Problems in AI Incident Governance
Harleen Kaur Sidhu, Rebecca Scholefield, Nour Annan +5
AI systems may produce failures after deployment that pre-deployment safety assessments do not anticipate. Managing these failures requires what we refer to as adequate \textit{AI…
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
Taro Qureshi, Jacob Griffith, Koen Holtman +3
Due to ambiguity in the wording of the EU AI Act, we examine the question of to what extent frontier biological foundation models such as ESM3 are subject to obligations for genera…
Principles and Guidelines for Randomized Controlled Trials in AI Evaluation
Christopher Kelly, Angelica Chowdhury, Alexandra Campili +5
This work establishes a framework for standardizing AI evaluation RCTs (sometimes called human uplift studies). Drawing on established practices from disciplines with established R…
Open Problems in Frontier AI Risk Management
Marta Ziosi, Miro Plueckebaum, Stephen Casper +26
Frontier AI both amplifies existing risks and introduces qualitatively novel challenges. Not only is there a notable lack of stable scientific consensus resulting from the rapid pa…
Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
Yuanyuan Sun, Timothy Parker, Lara Gierschmann +5
Emerging AI regulations assign distinct obligations to different actors along the AI value chain (e.g., the EU AI Act distinguishes providers and deployers for both AI models and A…
Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks
Ze Shen Chin
Although discourse around the risks of Artificial Intelligence (AI) has grown, it often lacks a comprehensive, multidimensional framework, and concrete causal pathways mapping haza…
Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures
Lily Stelling, Mick Yang, Rokas Gipiškis +5
This report provides a detailed comparison between the Safety and Security measures proposed in the EU AI Act's General-Purpose AI (GPAI) Code of Practice (Third Draft) and the cur…
Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
Rokas Gipiškis, Ayrton San Joaquin, Ze Shen Chin +3
There is an urgent need to identify both short and long-term risks from newly emerging types of Artificial Intelligence (AI), as well as available risk management measures. In resp…