arXiv AI
1d ago
An Evaluation Framework for National AI Regulation
arXiv:2608. 15417v1 Announce Type: cross Abstract: Governments use laws, institutions, funding programs and nonbinding guidance to shape how AI is developed and used.
The AI Legal Specialist: A Juridically Autonomous Professional Profile for AI Governance
arXiv:2606. 12415v1 Announce Type: cross Abstract: The rapid global expansion of artificial intelligence regulation has generated, across multiple jurisdictions, a demand for legal expertise dedicated to AI that the market has addressed in a fragmented manner.
Related stories
arXiv AI
Aug 5
Explainable AI for the EU Right to Explanation: A Systematic Review of the Law-XAI Translation Gap
arXiv:2608. 02699v1 Announce Type: new Abstract: When algorithms make or influence consequential decisions---about loan eligibility, hiring, or healthcare---EU law grants affected individuals a Right to Explanation.
Hugging Face Trending Papers
Aug 11
Inferential Capability Does Not Determine Legal Scope
Two instruments of EU digital law place inference at their centre and mean different things by it. Article 3(1) of the AI Act uses the capability to infer constitutively: it is the central feature separating the regulated category from conventional software.
arXiv AI
1d ago
Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws
arXiv:2608. 14568v1 Announce Type: new Abstract: As Artificial Intelligence (AI) systems become deeply integrated into critical global infrastructure, the urgency for robust governance frameworks has intensified.
arXiv AI
Aug 12
Inferential Capability Does Not Determine Legal Scope
arXiv:2608. 10601v1 Announce Type: cross Abstract: Two instruments of EU digital law place inference at their centre and mean different things by it.
arXiv AI
1d ago
Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review
arXiv:2608. 14562v1 Announce Type: new Abstract: AI governance is shifting from voluntary ethics to enforceable, risk-based regulation, yet cross-jurisdictional divergence creates compliance uncertainty for operators of high-stakes AI.
arXiv AI
Jul 16
Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governance
arXiv:2607. 13040v1 Announce Type: cross Abstract: This paper examines where final authority should sit once capable AI systems are embedded in organizational workflows.
arXiv AI
Jun 17
The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act
arXiv:2606. 18158v1 Announce Type: cross Abstract: Large language models now produce legal text of at least median quality, yet no existing benchmark can evaluate whether they perform doctrinal legal reasoning, which forms the interpretive core of legal work, rather than the ancillary, paralegal tasks that most current legal-AI evaluations measure.
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.
arXiv AI
Jul 8
Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences
arXiv:2506. 03218v2 Announce Type: replace-cross Abstract: The EU has become one of the vanguards in regulating the digital age.
arXiv AI
Jul 16
Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents
arXiv:2605. 16281v2 Announce Type: replace-cross Abstract: Post-deployment accountability has become central to AI governance, yet little empirical evidence shows whether monitoring, incident reporting, and impact assessment obligations are visible when AI systems fail.
arXiv AI
Jul 7
From Regulation to Requirements: An Automated Requirement Derivation and Explanation Pipeline
arXiv:2607. 04448v1 Announce Type: cross Abstract: Ensuring software compliance with regulations such as the General Data Protection Regulation (GDPR) and the Artificial Intelligence Act (EU AI Act) poses a significant challenge, as requirements engineers must translate complex legal text into actionable software requirements - a process that remains largely manual and error-prone in practice.