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Zhijing Jin

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#artificial intelligence Review Sep 2026

An Open Pipeline and Dashboard for Systemic-Risk Evidence under the EU AI Act's Code of Practice

This work organizes 19 public benchmarks into four systemic-risk categories defined by the EU GPAI Code of Practice---CBRN, cyber offense, harmful manipulation, and loss of control---and evaluates models using harm-preserving perturbations and simulated deployment contexts.

Jacob T. Emmerson, Phuong-Anh Nguyen-Le, Ronan Romano et al. · 0 citations

Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI

This work proves that the answer is negative: drawing from incomplete contract theory, it is formally shown that when contracts cannot distinguish all relevant future contingencies, there is a strictly positive welfare loss that no realistic mechanism can eliminate.

Xuanqi Huang, Charlie Tharas, Samuele G. Marro et al. · 2 citations
Preprint Jul 2026

When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games

Evaluating three frontier models across six games in homogeneous and heterogeneous groups over 10 rounds, it is found that different models interpret announcements incompatibly, some as binding commitments and others as cheap talk, producing payoff gaps that emerge in Round~0 and persist across all 10 rounds.

Jerick Shi, Terry Jingchen Zhang, Bernhard Scholkopf et al. · 0 citations

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