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Evidence record 17081 · automatically gathered

Validity, Reliability, and Transparency in Artificial Intelligence Regulation

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 argues that modern AI raises distinct concerns of c

Record details

Published: 6 August 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy · Transparency
Retrieved: 7 August 2026

source-onlyevidence status

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.

Same publisher byline · Shared topic: Regulation

Validity, Reliability, and Transparency in Artificial Intelligence Regulation

arXiv cs.CY · 7 August 2026

Shared topic: Regulation · Shared topic: Privacy

On Exercising Governance Power in Decentralized Autonomous Organizations

arXiv · 28 July 2026

Shared topic: Regulation · Shared topic: Privacy

Enabling Multilingual Privacy Policy Audits: Large-Scale Analysis of Spanish Mobile Apps

arXiv cs.CY · 22 July 2026

Shared topic: Regulation · Shared topic: Privacy

Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents

arXiv cs.CY · 16 July 2026

Shared topic: Regulation · Shared topic: Privacy

Auditable Machine Unlearning for Privacy-Compliant Ransomware Detection Using Multi-Shard SISA and Deep Reinforcement Learning

arXiv cs.CR (AI security) · 7 July 2026

Shared topic: Regulation · Shared topic: Privacy

ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education

arXiv · 17 June 2026

How to cite this record

ethics.ai (6 August 2026), “Validity, Reliability, and Transparency in Artificial Intelligence Regulation,” evidence record 17081, https://ethics.ai/record/17081 (originally published by arXiv).

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