How to speak machine : a gentle introduction to artificial intelligence / John Maeda.

By:

Maeda, John [author]

Material type:

TextLanguage: English Series: Simplicity : design, technology, business, lifePublication details: Cambridge : MIT, 2025.ISBN:

9780262553179

Subject(s):

Summary: As the capabilities of AI and language models like ChatGPT continue to advance, it is more important than ever to understand the implications and potential pitfalls of these technologies. Reissued with a new preface, How to Speak Machine, which was first published in 2019, draws on John Maeda’s extensive experience as one of the world's preeminent interdisciplinary thinkers on technology and design to provide actionable guidance for businesses, product designers, and policymakers. Using thoughtful explorations and occasionally whimsical examples, he identifies a framework that describes the key capabilities and pitfalls of any machine learning system, and offers a vision for how they can be used to create inclusive and world-changing products.

Item type:

Print List(s) this item appears in: Global Library New Arrivals February 2026

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Print		OPJGU Sonepat- Campus	General Books	Main Library	006.3 MA-H (Browse shelf(Opens below))					Available			157857

Includes bibliographical references and index.

As the capabilities of AI and language models like ChatGPT continue to advance, it is more important than ever to understand the implications and potential pitfalls of these technologies. Reissued with a new preface, How to Speak Machine, which was first published in 2019, draws on John Maeda’s extensive experience as one of the world's preeminent interdisciplinary thinkers on technology and design to provide actionable guidance for businesses, product designers, and policymakers. Using thoughtful explorations and occasionally whimsical examples, he identifies a framework that describes the key capabilities and pitfalls of any machine learning system, and offers a vision for how they can be used to create inclusive and world-changing products.

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