arXiv AI

Regulating for AI Legitimacy

arXiv:2607. 24391v1 Announce Type: cross Abstract: AI systems already govern.

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
Jun 12

Algorithmic Constitutionalism

arXiv:2606. 12437v1 Announce Type: cross Abstract: The increasing encroachment of artificial intelligence (AI) on social life raises significant risks for society, particularly within the infospheres created and controlled by companies such as Google, Facebook, Apple, and Amazon.

By Oren Perez, Nurit Wimer
arXiv AI
Jul 20

Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI

arXiv:2607. 15992v1 Announce Type: new Abstract: Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI poses in high-stakes settings.

By Trisevgeni Papakonstantinou, Cansu Canca, Farah Nanji, Waheedullah Pardess, Jen Weedon, Jasmijn Remmers, Eliza Krigman, Matthew Ball, Yalda Daryani, Kiran Iqbal, Francielle Vargas, Mar\'ia Llorente S\'anchez, Joe Humphreys, Fendi Tsim, Kelly Fitzpatrick, Jeff Dunn, Catherine Feldman
arXiv AI
Aug 10

Agentic AI: User Empowerment or Enclosure?

arXiv:2608. 06510v1 Announce Type: cross Abstract: Agentic AI promises a more flexible form of digital agency: systems that can act on users' behalf, from filtering content to negotiating prices to selecting services.

By David Gamba, Daniel M. Romero, Grant Schoenebeck