arXiv AI By Yongchao Martin Ma, Xinya Guan

Buyer Artificial Intelligence-Enabled Environmental Governance and Supplier Environmental Controversies: An Organizational Information Processing and Signaling

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The study investigates how exposure to buyers’ artificial intelligence (AI)-enabled environmental governance affects supplier environmental controversies. Using text analysis and panel data from 2,505 suppliers of U.S.-listed firms across 41 countries (2020‑2024), the authors find that such exposure is negatively associated with controversies in the following year. The effect is stronger in countries with higher AI readiness and regulatory quality.

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arXiv AI
Jun 26

The Governance Inversion Hypothesis: Why More AI Regulation May Produce Less Organisational Control

arXiv:2606. 26117v1 Announce Type: cross Abstract: This paper introduces the Governance Inversion Hypothesis (GIH) to explain a growing paradox in artificial intelligence (AI) governance: under conditions of increasing regulatory expansion and technological complexity, organisations may become more formally governed while simultaneously experiencing a decline in operational control over AI systems.

By Victor Frimpong
arXiv AI
Jul 24

Regulating autonomous and agentic AI

arXiv:2607. 21345v1 Announce Type: new Abstract: Regulating activities where regulatees use autonomous and agentic AI is challenging.

By Chris Reed, Alex Austria, Anmol Bharuka, Pragnitha Mandava, Khushiya Mujawar, Luka Shakhkulashvili