AI Ethics in Action: A practical guide to building modern organizations through purposeful, ethical AI innovation - Softcover

Inhaltsangabe

Reshape your AI practices to promote responsible innovation, understand regulations, and secure your organization's future with guidance from a seasoned ethics expert

Key Features

• Discover how to solve AI business dilemmas with ethics
• Work with real-world use cases, examples, and best practices to illustrate complex ethical scenarios
• Future-proof your AI strategy with actionable risk mitigation techniques and regulatory compliance roadmaps
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

The rapid rise of generative AI (GenAI) has led businesses to engage in discussions about ethical innovation, but these discussions often lack clear, practical guidance. AI Ethics in Action fills this gap with practical, actionable guidance from an award-winning ethicist and founder and CEO of NextGen Ethics.

The book begins by laying a foundation in philosophical ethics, before setting a framework for responsible AI innovation, offering strategies for measurable, ethical decision-making. The chapters provide practical advice on navigating the complex regulatory landscape that organizations, especially global ones, face. You’ll get prepared for the inevitable disruptions AI will bring, with emphasis on the need for next-generation ethical considerations. You’ll also discover best practices and practical advice through an in-depth examination of lessons learned across various industries. Additionally, the book critically examines the expectations placed on those who develop and deploy AI, addressing the challenges of overcoming the pursuit of perfection.

By the end of this book, you’ll be able to apply ethical frameworks to AI systems, tackle complex challenges, and make responsible decisions that build trust, transparency, and positive societal impact.

What you will learn

• Understand what ethics is and learn how to apply it effectively to AI
• Implement AI innovation with strategies that ensure ethical practices
• Identify and address obstacles that hinder responsible innovation
• Avoid common pitfalls that prevent the integration of ethical principles in innovation
• Apply practical and actionable ethical guidance to your AI projects right away
• Recognize and evaluate ethical use cases for AI and generative technologies

Who this book is for

This book is for anyone interested in AI, especially those in leadership or governance roles, such as chief AI officers, AI/ML engineers, data scientists, AI product managers, chief data officers, AI ethicists, and AI policy analysts. It’s written to be accessible to all, but particularly valuable for those leading AI initiatives. Technologists, developers, and legal professionals can gain insights into ethical AI practices, even without prior knowledge. An open mind and a willingness to explore ethics beyond regulation are all you need to get started.

Table of Contents

1. A Brief Primer on Ethics
2. Moving from Ethics to AI Ethics
3. Rejecting Ethics: Washing our Hands of This
4. Doing Ethics: A Primer on Getting Your Hands Dirty
5. The Trustworthiness of AI (Risk-based Framework)
6. AI In the Wild (Rights-based Framework)
7. AI like Me? (Relational-based Framework)
8. Utilizing the Frameworks
9. Complications of Owning AI
10. Lawlessness and the Regulation Landscape
11. Navigating Future AI Developments
12. Next-Generation Ethics
13. Lessons Learned: Business Revolution by AI
14. Lessons Learned: Social Media and Education in the Age of AI
15. Best Practices
16. Conclusion

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