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AI Regulation & Compliance

Publisher HHeuristics
Published Oct 21, 2025
Length 61 Pages
SKU # HHE20489493

Description

Analyzes global AI regulatory frameworks across the EU, U.S., and China. Explains EU AI Act risk tiers, compliance requirements, and timelines (2025–2027). Reviews NIST AI RMF, GPAI obligations, and strategic compliance for enterprises.
Built on extensive analysis of international regulatory frameworks, the study integrates the EU AI Act’s final legislative text, NIST’s AI RMF 1.0, ISO/IEC 42001 standards, and China’s Algorithmic Regulation provisions to map the current global compliance landscape. Comparative evaluation highlights the fragmentation between prescriptive European regimes, U.S. innovation-led models, and China’s state-driven governance system. Methodologically, it combines legal text mining, risk-tier classification, and sectoral benchmarking to evaluate the impact of evolving AI laws on enterprises operating in finance, healthcare, and infrastructure. Primary data is supported by references from the OECD AI Policy Observatory, BSA compliance datasets, and the Stanford AI Index. Quantitative modeling identifies key compliance costs, certification dependencies, and enforcement timelines for high-risk and GPAI systems. The findings emphasize the convergence of regulatory objectives—transparency, auditability, and fairness—despite jurisdictional divergence in enforcement mechanisms. For global enterprises, compliance now functions as both a legal obligation and a strategic differentiator, enabling market access through verifiable trust and governance maturity.

Table of Contents

61 Pages
1. Executive Summary
1.1. Global Overview of AI Governance Trends
1.2. The Rise of the Compliance Imperative
1.3. Comparative Analysis: EU, U.S., China, and Emerging Markets
1.4. Strategic Implications for Enterprises
2. The Global Policy Landscape
2.1. The Tri-Polar Governance Model: EU, U.S., China
2.2. EU AI Act: Legislative Foundations and Timelines
2.3. U.S. Federal Deregulation vs. State-Level Liability Regimes
2.4. China’s National Standards for Algorithmic Accountability
2.5. Emerging Market Approaches: UK, Japan, and ASEAN
3. The EU AI Act: Core Provisions and Compliance Roadmap
3.1. Risk-Based Framework: Unacceptable, High, Limited, and Minimal Risk
3.2. GPAI (General-Purpose AI) Requirements and Provider Obligations
3.3. High-Risk AI Systems: Documentation, Conformity, and Transparency
3.4. Enforcement Mechanisms and Penalties
3.5. Implementation Timeline (2024–2027): Key Milestones
4. U.S. and International Regulatory Divergence
4.1. Deregulation, Tort Liability, and State-Level AI Accountability
4.2. The Role of NIST AI Risk Management Framework (AI RMF 1.0)
4.3. ISO/IEC 42001:2024 AI Management Systems Certification
4.4. The Rise of Voluntary vs. Statutory Compliance
4.5. Global Interoperability Challenges and Cross-Jurisdictional Operations
5. Enterprise Risk and Compliance Strategies
5.1. Building AI Governance Frameworks: Internal Controls and Oversight
5.2. Implementing AI Audits and Documentation Standards
5.3. Legal, Ethical, and Technical Compliance Integration
5.4. Model Risk Management (MRM) and Algorithmic Accountability
5.5. Third-Party Assurance and Certification Pathways
6. Strategic Outlook: Regulation as a Competitive Advantage
6.1. Trust, Transparency, and Market Access
6.2. Compliance-Driven Innovation in Financial and Healthcare Sectors
6.3. Global Harmonization Efforts and Regulatory Convergence
6.4. The Future of AI Governance: Toward Continuous Assurance Systems

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