Taming the Machine, 9781398614321
Paperback
Harness AI’s power responsibly, safeguard your future, and innovate ethically.

Taming the Machine

ethically harness the power of ai

$50.78

  • Paperback

    336 pages

  • Release Date

    2 May 2024

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Summary

Taming the Machine: A Practical Guide to Ethical AI

WINNER: Goody Business Book Award 2024 - Technology - General

AI promises to transform our world, supercharging productivity and driving new innovations. Taming the Machine uncovers how you can responsibly harness the power of AI with confidence.

AI has the potential to become a personal assistant, a creative partner, an editor and a research tool all at once. But it also represent…

Book Details

ISBN-13:9781398614321
ISBN-10:1398614327
Author:Nell Watson
Publisher:Kogan Page Ltd
Imprint:Kogan Page Ltd
Format:Paperback
Number of Pages:336
Release Date:2 May 2024
Weight:410g
Dimensions:216mm x 138mm x 18mm
What They're Saying

Critics Review

“A clear, actionable guide for safer and more ethical AI.” * Jaan Tallinn, co-founder, Centre for Study of Existential Risk *“A great resource for anyone who wants to understand AI and to use it humanely.” * Steve Omohundro, founder and CEO, Beneficial AI Research *“Nell Watson has written the magisterial work on AI risk, including AI’s encoded human warts, its relentlessly algorithmic amorality, and our inadequate means of taming it. A complete and compelling work.” * Max Borders, author and co-founder, Future Frontiers *“In this sweeping overview of the potential promises and perils of AI, Nell Watson masterfully combines a detailed understanding of the underlying technology and approaches being used to develop AI capabilities.” * Jonathan Leighton, ethics strategist and author *

About The Author

Nell Watson

Nell Watson is a researcher, writer, speaker, and applied tech ethicist. She is President of the European Responsible AI Office, an AI Expert at Singularity University, and pioneers global standards as an AI Ethics Certification Maestro at IEEE. She advises leading organizations on their machine learning strategies, specializing in AI research and ethical advocacy.

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