Bibliography
This bibliography consolidates the main external sources referenced across the book in IEEE style. The same reference numbers are reused across chapter-level reference sections.
International Frameworks and Standards
OECD AI Principles
[1] OECD, “OECD AI Principles overview,” 2024. [Online]. Available: https://oecd.ai/en/ai-principles. [Accessed: Mar. 17, 2026].
NIST AI Risk Management Framework
[2] National Institute of Standards and Technology, “AI Risk Management Framework (AI RMF),” Jan. 26, 2023. [Online]. Available: https://www.nist.gov/itl/ai-risk-management-framework. [Accessed: Mar. 17, 2026].
NIST Generative AI Profile
[3] National Institute of Standards and Technology, “Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST-AI-600-1),” Jul. 26, 2024. [Online]. Available: https://doi.org/10.6028/NIST.AI.600-1. [Accessed: Mar. 17, 2026].
European Legal and Regulatory Sources
European Commission AI Act Overview
[4] European Commission, “AI Act,” Shaping Europe’s digital future. [Online]. Available: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai. [Accessed: Mar. 17, 2026].
Regulation (EU) 2024/1689
[5] European Union, “Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act),” Official Journal of the European Union, 2024. [Online]. Available: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:L_202401689. [Accessed: Mar. 17, 2026].
General Data Protection Regulation
[6] European Union, “Regulation (EU) 2016/679 (General Data Protection Regulation),” Official Journal of the European Union, 2016. [Online]. Available: https://eur-lex.europa.eu/eli/reg/2016/679/oj/eng. [Accessed: Mar. 17, 2026].
GDPR Article 22 Summary
[7] GDPR-Info.eu, “Art. 22 GDPR — Automated individual decision-making, including profiling.” [Online]. Available: https://gdpr-info.eu/art-22-gdpr/. [Accessed: Mar. 17, 2026].
AI Security and Threat Frameworks
OWASP Top 10 for LLMs and Gen AI Apps
[8] OWASP Gen AI Security Project, “Top 10 Risk & Mitigations for LLMs and Gen AI Apps (2025).” [Online]. Available: https://genai.owasp.org/llm-top-10/. [Accessed: Mar. 17, 2026].
MITRE ATLAS
[9] MITRE, “MITRE ATLAS.” [Online]. Available: https://atlas.mitre.org/. [Accessed: Mar. 17, 2026].
CISA and Partners Guidance on Using AI Securely
[10] Cybersecurity and Infrastructure Security Agency, “CISA Joins ACSC-led Guidance on How to Use AI Systems Securely,” Jan. 23, 2024. [Online]. Available: https://www.cisa.gov/news-events/alerts/2024/01/23/cisa-joins-acsc-led-guidance-how-use-ai-systems-securely. [Accessed: Mar. 17, 2026].
Trustworthy AI Governance and Practice
Trustworthy AI Explained Demo
[11] K. Thu, “trustworthyAIexplained,” GitHub repository. [Online]. Available: https://github.com/khukt/trustworthyAIexplained. [Accessed: Mar. 17, 2026].
EU High-Level Expert Group on AI
[12] European Commission High-Level Expert Group on Artificial Intelligence, “Ethics Guidelines for Trustworthy AI,” Apr. 8, 2019. [Online]. Available: https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai. [Accessed: Mar. 17, 2026].
Market Dynamics and Model Competition
Inflection AI Strategy Shift
[13] M. Zeff, “Inflection AI CEO says it’s done trying to make next-generation AI models,” TechCrunch, Nov. 26, 2024. [Online]. Available: https://techcrunch.com/2024/11/26/inflection-ceo-says-its-done-competing-to-make-next-generation-ai-models/. [Accessed: Mar. 17, 2026].
Gemini Live Language Expansion
[14] J. Walter, “New in Gemini: Gemini Live and connected Google apps in more languages,” Google, Oct. 3, 2024. [Online]. Available: https://blog.google/products/gemini/gemini-live-extensions-language-expansion/. [Accessed: Mar. 17, 2026].
Gemini 1.5 Pro Language Expansion
[15] S. Hsiao, “Get more done with Gemini: Try 1.5 Pro and more intelligent features,” Google, May 14, 2024. [Online]. Available: https://blog.google/products/gemini/google-gemini-update-may-2024/. [Accessed: Mar. 17, 2026].
Leadership Context and Sector Guidance
OECD on AI Adoption by SMEs
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OECD on Generative AI and the SME Workforce
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International Cooperative Alliance on Cooperative Identity
[18] International Cooperative Alliance, “Cooperative identity, values & principles.” [Online]. Available: https://ica.coop/en/cooperatives/cooperative-identity. [Accessed: Mar. 17, 2026].
NSF on Responsible Conduct of Research
[19] U.S. National Science Foundation, “Research ethics and responsible conduct of research.” [Online]. Available: https://new.nsf.gov/office-integrity/research-ethics/research-conduct. [Accessed: Mar. 17, 2026].
ICMJE on AI-Assisted Technologies in Manuscripts
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UNESCO Recommendation on the Ethics of AI
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G7 Toolkit for AI in the Public Sector
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OECD on Governing with AI
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OECD on National AI Compute Capacity
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OECD AI Policy Observatory
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NIST AI Use Taxonomy
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NIST Guide to Industrial Control Systems Security
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CISA Critical Infrastructure Overview
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CISA AI Cybersecurity Collaboration Playbook
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OECD on AI and Changing Skill Demand
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OECD Employment Outlook on AI and Jobs
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NIST AI RMF Playbook
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OECD on Access to and Sharing of Data in the Age of AI
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AI Playbook for the UK Government
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The People Factor: A Human-Centred Approach to Scaling AI Tools
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OECD Update on AI Use by Individuals and Firms
[36] OECD, “AI use by individuals surges across the OECD as adoption by firms continues to expand,” Jan. 28, 2026. [Online]. Available: https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html. [Accessed: Mar. 17, 2026].
OECD on AI Productivity Gains in G7 Economies
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OECD on Possible AI Trajectories Through 2030
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OECD on AI Incidents and Hazards Reported by the Media
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OECD on Agentic AI
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White House AI Action Plan
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European Commission FAQ on Navigating the AI Act
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OECD Framework for the Classification of AI Systems
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Deep Learning
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Initial Policy Considerations for Generative AI
[45] P. Lorenz, K. Perset, and J. Berryhill, “Initial policy considerations for generative artificial intelligence,” OECD Artificial Intelligence Papers, No. 1, OECD Publishing, Paris, Sep. 18, 2023. [Online]. Available: https://doi.org/10.1787/fae2d1e6-en. [Accessed: Mar. 18, 2026].
Foundational Research and Textbooks
Artificial Intelligence: A Modern Approach
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Artificial Intelligence: A Guide for Thinking Humans
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Deep Learning
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Climbing towards NLU
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Hidden Technical Debt in Machine Learning Systems
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On the Opportunities and Risks of Foundation Models
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Why Should I Trust You?
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Concrete Problems in AI Safety
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Diffusion of Innovations
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The Economics of Artificial Intelligence: An Agenda
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General Purpose Technologies “Engines of Growth?”
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The Productivity J-Curve
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AI as the Next GPT
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The Impact of Artificial Intelligence on Innovation
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Why a Right to Explanation Does Not Exist in the GDPR
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The Cambridge Handbook of the Law, Ethics and Policy of Artificial Intelligence
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Artificial Intelligence and the Law
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ICO Guidance on Explaining Decisions Made with AI
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FTC Action on Deceptive AI Claims
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Beyond Computation
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Complementarity in Organizations
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Human-AI Collaborative Decision-Making as an Organization Design Problem
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Competing in the Age of AI
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The Automation-Augmentation Paradox
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The Nature of the Firm
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Markets and Hierarchies
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Towards a Theory of Ecosystems
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Data Science for Business
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Datasheets for Datasets
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Data Cascades in High-Stakes AI
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Big Data, Little Data, No Data
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Data-Centric AI: Perspectives and Challenges
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Portfolio Management for New Product Development
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Technology Roadmapping
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Leading Change
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Internal Control - Integrated Framework
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Achieving Effective Internal Control Over Generative AI
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The IIA’s Three Lines Model
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Global Internal Audit Standards
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Making It Possible for the Auditing of AI
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Continuous Auditing of Artificial Intelligence
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Notes on Use
- This book is written for leadership audiences and uses these materials as interpretive anchors rather than as a substitute for legal advice.
- Where regulation or enforcement evolves, the official source should take priority over any summary in the book.