How To Speak Machine


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How to Speak Machine


How to Speak Machine

Author: John Maeda

language: en

Publisher: Penguin

Release Date: 2019-11-12


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Visionary designer and technologist John Maeda defines the fundamental laws of how computers think, and why you should care even if you aren't a programmer. "Maeda is to design what Warren Buffett is to finance." --Wired John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed, and tirelessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous. Take the seemingly instant transformation of Microsoft's chatbot Tay into a hate-spewing racist, or how crime-predicting algorithms reinforce racial bias. How to Speak Machine provides a coherent framework for today's product designers, business leaders, and policymakers to grasp this brave new world. Drawing on his wide-ranging experience from engineering to computer science to design, Maeda shows how businesses and individuals can identify opportunities afforded by technology to make world-changing and inclusive products--while avoiding the pitfalls inherent to the medium.

How to Speak Machine, with a new preface by the author


How to Speak Machine, with a new preface by the author

Author: John Maeda

language: en

Publisher: MIT Press

Release Date: 2025-05-20


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A simple, enduring framework for understanding the complex world of AI and machine learning—updated with a new preface. 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. Essential reading for anyone seeking a high-level understanding of how machines “think” and what the future may hold, How to Speak Machine is more relevant than ever today—as AI becomes even more enmeshed in all areas of business and product design.

Artificial Unintelligence


Artificial Unintelligence

Author: Meredith Broussard

language: en

Publisher: MIT Press

Release Date: 2019-01-29


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A software developer’s misadventures in computer programming, machine learning, and artificial intelligence reveal why we should never assume technology always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it’s just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can’t pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.