Articles liés à AI Ethics in Action: A practical guide to building...

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

Laura Miller

 
9781835469507: AI Ethics in Action: A practical guide to building modern organizations through purposeful, ethical AI innovation

Synopsis

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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Laura Miller is the founder and CEO of NextGen Ethics, focusing on ethical AI innovation and public trust. She is a philosophy and ethics instructor at Webster University, recognized by NASA and the US State Department for her contributions to tech ethics. Her honors include awards for humanitarianism, leadership, and business excellence. Laura holds several board positions in technology and ethics, has been a semi-finalist in startup competitions, and is named one of the 19 Women in Real-time Analytics and AI to Watch in 2024. She is co-chair of the upcoming 2nd International Conference on Machine Learning and Artificial Intelligence in Amsterdam. Laura holds a BA and MA in Philosophy from the University of Missouri-St. Louis.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.