Overview

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 represents a threat to your livelihood, data and privacy. Taming the Machine offers the practical insights and knowledge you need to work with AI with an ethical and responsible approach. In this book, celebrated AI expert and ethicist Nell Watson offers practical insights on how you can ethically innovate with AI. It delves into the ethical issues of unbridled AI, highlighting the challenges that it will bring to society and business unless we fortify cybersecurity, safeguard our data, and understand the dangerous potential of artificial intelligence. Step into the future and supercharge your performance safely by Taming the Machine.

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9781398614321

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Reviews

"""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 *"

Author Information

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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