Collaborative artificialintelligence (AI) frameworksand preparedness diagnostic
Acknowledgements
Table of contents
Foreword
Abbreviations and acronyms
1 Introduction: Building preparedness through collaborative AI frameworks
     1.1 From principles to enforceable obligations
     1.2 Why collaborative frameworks are becoming indispensable
     1.3 Objectives and structure of this integrated guide
2 Global overview of AI laws and regulations: Implications for collaborative frameworks (2023–2026)
     2.1 AI fundamentals: why they matter for preparedness
     2.2 The evolution and diversity of AI regulatory approaches
     2.3 European Union: The Artificial Intelligence Act (AI Act) and its collaborative AI requirements
     2.4 Americas: diverse regulatory models and emerging convergence
     2.5 Asia-Pacific: hybrid approaches from binding rules to soft-law toolkits
     2.6 Africa and Arab States: building from data and digital foundations
     2.7 Commonwealth of Independent States: state-led digital transformation, strategic coordination and uneven regulatory maturation
     2.8 Cross-cutting trends and their implications for collaborative governance
3 Concept, purpose and methodology of a practical AI preparedness diagnostic
     3.1 What is AI preparedness for policy-makers and regulators, and why does it matter?
     3.2 The eight policy-relevant preparedness dimensions
     3.3 Step-by-step methodology for performing the diagnostic
4 Diagnostic components by preparedness dimension: Questions, maturity levels and indicators
     4.1 Dimension 1: Vision and strategic alignment
     4.2 Dimension 2: Governance and institutional preparedness for collaborative AI frameworks
     4.3 Dimension 3: Digital and computing infrastructure
     4.4 Dimension 4: Data governance and data ecosystems
     4.5 Dimension 5: Talent, skills and institutional capabilities
     4.6 Dimension 6: Innovation, competition and procurement
     4.7 Dimension 7: Ethics, trust and societal preparedness
     4.8 Dimension 8: Implementation, supervision and enforcement preparedness
     4.9 Overall preparedness
5 Conclusion: Collaborative frameworks and preparedness diagnostics as twin pillars of AI governance
Annex I: Illustrative application of the AI preparedness diagnostic: the case of Novara
Annex II: From vision to implementation – a practical roadmap for national AI collaborative governance