Validity, Reliability, and Transparency in Artificial Intelligence Regulation
arXiv:2608.05800v1 Announce Type: new Abstract: Artificial intelligence (AI) systems increasingly mediate decisions affecting individuals and societies. Existing data protection frameworks address certain privacy-related harms, particularly those arising from data leakage, re-identification, and profiling. However, they inadequately capture a more fundamental risk: unreliable or unjustified inference produced by AI systems even when data collection and processing are legitimate. This article arg
Record details
Published: 7 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Privacy · Transparency
Retrieved: 7 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.
Validity, Reliability, and Transparency in Artificial Intelligence Regulation
arXiv · 6 August 2026
On Exercising Governance Power in Decentralized Autonomous Organizations
arXiv · 28 July 2026
Enabling Multilingual Privacy Policy Audits: Large-Scale Analysis of Spanish Mobile Apps
arXiv cs.CY · 22 July 2026
Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents
arXiv cs.CY · 16 July 2026
Auditable Machine Unlearning for Privacy-Compliant Ransomware Detection Using Multi-Shard SISA and Deep Reinforcement Learning
arXiv cs.CR (AI security) · 7 July 2026
ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education
arXiv · 17 June 2026
How to cite this record
ethics.ai (7 August 2026), “Validity, Reliability, and Transparency in Artificial Intelligence Regulation,” evidence record 17013, https://ethics.ai/record/17013 (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.