AI Awareness Certificate in AI Governance and Ethics Official Exam Preparation
eBook - ePub

AI Awareness Certificate in AI Governance and Ethics Official Exam Preparation

Prompt Engineering Skills for Safe, Transparent, and Accountable AI Use

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI Awareness Certificate in AI Governance and Ethics Official Exam Preparation

Prompt Engineering Skills for Safe, Transparent, and Accountable AI Use

About this book

Artificial intelligence now influences decisions across every sector—shaping policies, assessing risks, guiding services, and determining how organisations operate. The challenge is no longer gaining access to AI tools; it is knowing how to direct them responsibly, transparently, and ethically using well-structured prompts and clear governance practices.

AI Awareness Certificate in AI Governance and Ethics: Official Exam Preparation is the definitive guide for professionals preparing for the AI Awareness Certification in this discipline. Built around real governance, compliance, and oversight scenarios, this book shows how prompt engineering can support ethical decision-making, strengthen risk controls, and improve the clarity and accountability of AI-assisted work.

Across the chapters, you'll learn how to:

Use governance-specific prompt engineering techniques to build policies, frameworks, and ethical guardrails

Identify and mitigate bias, fairness issues, and unintended consequences

Automate and enhance regulatory compliance checks using structured prompts

Improve transparency, explainability, and audit trails for AI-driven decisions

Manage stakeholder expectations and communicate decision logic clearly

Apply prompts to accelerate risk assessments, policy development, and ethical reviews

Prepare for the official certification exam using realistic, governance-focused examples

The book emphasises safe and responsible AI use, reinforcing good practice around data protection, traceability, documentation, and ethical oversight—ensuring AI enhances, rather than undermines, public trust and organisational accountability.

As with all titles in the AI Awareness Certification Series, this guide includes reusable prompt templates and a complete set of practice exam questions and answers to support structured revision and exam readiness.

Whether you work in compliance, audit, legal services, public policy, risk management, information governance, or organisational ethics, this book equips you with the clarity and confidence to govern AI systems effectively—without complexity, hype, or shortcuts.

Part of the AI Awareness Certification Series.

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Yes, you can access AI Awareness Certificate in AI Governance and Ethics Official Exam Preparation by Andrea V.M. Greaves in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Ethics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Introduction
  2. Special Offer: 40% Discount on Full Certification Program
  3. Chapter 1. 1: Ethical Framework Development Through Prompts
  4. Chapter 1. 2: Regulatory Compliance Automation
  5. Chapter 1. 3: Risk Assessment and Mitigation Strategies
  6. Chapter 1. 4: Stakeholder Engagement Optimization
  7. Chapter 1. 5: Transparency and Explainability
  8. Chapter 1. 6: Policy Development Acceleration
  9. Chapter 2. 1: Constitutional AI and Value-Based Reasoning
  10. Chapter 2. 2: Automated Policy Analysis and Generation
  11. Chapter 2. 3: Bias Detection and Mitigation Systems
  12. Chapter 2. 4: Accountability and Audit Trails in AI Governance
  13. Chapter 2. 5: Multi-Modal Evidence Synthesis
  14. Chapter 2. 6: Crisis Response and Emergency Governance
  15. Chapter 3. 1: Healthcare AI Ethics and Regulation
  16. Chapter 3. 2: Financial Services Compliance and Risk
  17. Chapter 3. 3: Autonomous Systems and Transportation
  18. Chapter 3. 4: AI in Criminal Justice and Law Enforcement
  19. Chapter 3. 5: Education and Learning Systems in the AI Era
  20. Chapter 3. 6: Environmental and Climate Governance
  21. Chapter 3. 7: Content Moderation and Information Governance
  22. Chapter 4. 1: Prompt Architecture and Design Patterns
  23. Chapter 4. 2: Quality Assurance and Validation in AI Prompts
  24. Chapter 4. 3: Integration with Existing Governance Systems
  25. Chapter 4. 4: Security and Privacy in AI Governance
  26. Chapter 4. 5: Scalability and Performance in AI Governance
  27. Chapter 4. 6: Human-AI Collaboration in Governance
  28. Chapter 5. 1: Visual Evidence in Governance
  29. Chapter 5. 2: Multi-Modal Compliance Monitoring
  30. Chapter 5. 3: Public Engagement Through Visual Communication
  31. Chapter 5. 4: Crisis Response Visual Intelligence
  32. Chapter 5. 5: Identity Verification and Authentication
  33. Chapter 5. 6: Urban Planning and Smart City Governance
  34. Chapter 6. 1: Measuring Governance Effectiveness
  35. Chapter 6. 2: Bias and Fairness Assessment Systems
  36. Chapter 6. 3: Transparency and Accountability Measurement
  37. Chapter 6. 4: Adaptive Learning and System Evolution
  38. Chapter 6. 5: Cross-Jurisdictional Comparison and Benchmarking
  39. Chapter 6. 6: Innovation and Future-Proofing Strategies
  40. Chapter 7. 1: Regulatory Agency Transformation Case Studies
  41. Chapter 7. 2: Municipal and Local Government Applications
  42. Chapter 7. 3: Corporate Governance and Compliance in Practice
  43. Chapter 7. 4: International Governance and Diplomacy
  44. Chapter 7. 5: Crisis and Emergency Governance
  45. Chapter 7. 6: Future Governance Scenarios
  46. Chapter 8. 1: Skills Development for AI Governance Professionals
  47. Chapter 8. 2: Certification and Professional Standards
  48. Chapter 8. 3: Career Pathways in AI Governance
  49. Chapter 8. 4: Building AI Governance Teams and Organizations
  50. Chapter 8. 5: Industry Networks and Professional Communities
  51. Chapter 8. 6: Staying Current with Rapid Change
  52. Conclusion
  53. Practice Exam Questions
  54. Answers to Practice Exam Questions