No One to Blame: A Framework of Constitutive AI Unaccountability
arXiv:2608.12104v1 Announce Type: new Abstract: The increasing deployment of autonomous, agentic AI systems challenges traditional accountability mechanisms. Existing research predominantly frames AI accountability gaps as barriers that can be overcome through better standards, transparency, and institutional reform. We argue that this framing is insufficient: certain configurations of actors, systems, and institutions render AI accountability conceptually unachievable regardless of effort. We i
Record details
Published: 13 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 13 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Unmasking Toxic Mimicry in Medical Offline Reinforcement Learning for ICU Sepsis Management via Counterfactual Clinical Audits
arXiv cs.CY · 13 August 2026
Governing Agentic AI in FinTech
arXiv cs.CY · 13 August 2026
Reconcile Once, Write Anytime: A Trust-Tiered Librarian and a Multi-Agent Writer for Drift-Free, Point-in-Time Research
arXiv red teaming query · 13 August 2026
Convergent Detour Hijacking: Task-Preserving Resource Amplification in Skill-Based LLM Agents
arXiv · 12 August 2026
No One to Blame: A Framework of Constitutive AI Unaccountability
arXiv cs.AI · 12 August 2026
Beyond Memory: A Transactional Continuity Kernel for Long-Lived AI Agents
arXiv · 12 August 2026
How to cite this record
ethics.ai (13 August 2026), “No One to Blame: A Framework of Constitutive AI Unaccountability,” evidence record 18720, https://ethics.ai/record/18720 (originally published by arXiv cs.CY).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.