AI Governance: Applying AI Policy and Ethics through Principles and Assessments, by Dr Darryl J Carlton
Unlock the power of responsible AI governance with this essential guide for leaders and practitioners.
Three Laws of Robotics
The Turing Test
Moving Forward
The New New Thing
The Societal Tapestry of AI
Ethical Considerations and Future Horizons
Real-World and Hypothetical Scenarios
Existing Legal Frameworks
Ethical Frameworks for AI
Principle One: Human, Social, and Environmental Well-Being
How to Uphold this Principle
Examples
References and Sources
Principle Two: Human-Centered Values
How to Uphold this Principle
Examples
References and Sources
Principle Three: Fairness
How to Uphold this Principle
Examples
References and Sources
Principle Four: Privacy Protection and Security
How to Uphold this Principle
Examples
References and Sources
Principle Five: Reliability and Safety
How to Uphold this Principle
Examples
References and Sources
Principle Six: Transparency and Explainability
How to Uphold this Principle
Examples
References and Sources
Principle Seven: Contestability
How to Uphold this Principle
Examples
References and Sources
Principle Eight: Accountability
How to Uphold this Principle
Examples
References and Sources
Clifford’s Ethical Framework
The Importance of Questioning Assumptions
Accountability and the Duty of Inquiry
Integrating Clifford’s Principles into AI Ethics Frameworks
Conclusion
Section One: AI Systems Overview
Summary of the AI System being Deployed
Classification of AI System
Prohibited Systems
Exceptions for Law Enforcement
High Risk AI Systems
Section Two: Governance and Oversight
Values and AI Ethical Principles
Human Oversight
Considerations for Children
Section Three: Data and Documentation
Data Usage and Model Development
Transparency and Provision of Information to Users
Section Four: Operations, Risk & Retirement
Model Operations
Risk Management Plan
Retirement and Decommissioning
Gain the knowledge and tools to effectively govern and oversee the use of artificial intelligence in your organization, ensuring compliance with emerging global regulations. Become equipped with the necessary knowledge to establish a solid foundation for managing your AI investments and apply a technology that will revolutionize how you serve your markets, manage your internal business processes, and embed your products’ capabilities.
Depending on your organization’s locations and markets, you may need to comply with legislation that outlines your obligations, rights, and responsibilities. Two things, however, are clear:
This book contains four parts:
This book will prepare you to put the necessary governance documents in place and work towards international AI conformance standards. Adopt clear AI principles to ensure technology and humanity progress harmoniously as we navigate this new digital era.
Darryl has spent his entire adult life in information technology, almost 50 years. And while he keeps dreaming about one day getting a real job, frankly, this is all he knows, and as it turns out, he is quite good at it. He has found a niche, which he refers to as “translating between business and technology”. While his very first degree in 1983 was in Artificial Intelligence and expert systems, he has specialized in project management. He has run more than 30 projects with a combined value in excess of $3 Billion. He is committed to life-long learning. This is reflected in the fact that he is working towards a second Ph.D. He loves being on, under, or near the water. He scuba dives and sails. Even his dog Simba is a water dog!
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