From the 1 of 6 linked papers with an AI index.
6 papers
The Computable but Not Learnable Information-Value-Free Equilibria and Regulation of Algorithmic Collusion
Jason D. Hartline, Chang Wang, Chenhao Zhang
The paper shows that while certain information‑value‑free correlated equilibria can be computed efficiently, they cannot be learned online by many standard learning algorithms, hig…
AgentCanary: A Security Evaluation Framework for Autonomous AI Agents in Real Executable Environments
Peiyang Li, Songping Wang, Yi Huang +9
Autonomous AI agents have driven the transition from conversation to task execution, shifting security failures from textual deception to system compromise. Although security evalu…
Toward Web 4.0: Bidirectional Trust between AI Agents and Blockchain
Yunfeng Xia, Chao Li, Lei Li +4
Autonomous AI agents are increasingly deployed on blockchain platforms, yet the design space that governs their interaction remains poorly understood. This convergence, where auton…
Incentivizing User Data Contributions for LLM Improvement under Withdrawal Rights
Di Feng, Chenhao Zhang, Zhanzhan Zhao
The continued improvement of large language models (LLMs) increasingly depends on eliciting high-quality, user-generated data, yet such data are costly to provide and often withhel…
Barriers to Counterfactual Credit Attribution for Autoregressive Models
Aloni Cohen, Chenhao Zhang
Generative AI disrupts the practice of giving credit to work that came before. Ideally, a generative model would give credit to any work on which its output depends in a significan…
Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret
Jason D. Hartline, Chang Wang, Chenhao Zhang
We study the regulation of algorithmic (non-)collusion amongst sellers in dynamic imperfect price competition by auditing their data as introduced by Hartline et al. [2024]. We dev…