How to speak machine: computational thinking for the rest of us
Description
"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"--
More Details
ISBN:
9780399564420
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Grouping Information
Grouped Work ID | 2a6d2f7a-b9c6-8f9d-4bd6-849ec26aef55 |
---|---|
Grouping Title | how to speak machine computational thinking for the rest of us |
Grouping Author | john maeda |
Grouping Category | book |
Grouping Language | English (eng) |
Last Grouping Update | 2024-04-25 08:28:20AM |
Last Indexed | 2024-04-27 22:51:18PM |
Solr Fields
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author
Maeda, John
author_display
Maeda, John
detailed_location_eh
East Hampton Adult Nonfiction
display_description
"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"--
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Books
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Book
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2a6d2f7a-b9c6-8f9d-4bd6-849ec26aef55
isbn
9780399564420
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ADULT BOOK
last_indexed
2024-04-28T04:51:18.838Z
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literary_form
Non Fiction
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Non Fiction
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005.1 MAE
owning_library_eh
East Hampton Public Library
owning_location_eh
East Hampton Public Library
primary_isbn
9780399564420
publishDate
2019
publisher
Portfolio/Penguin
recordtype
grouped_work
subject_facet
Computer algorithms -- Popular works
Computer logic -- Popular works
Electronic data processing -- Social aspects -- Popular works
Machine theory
Product design
Computer logic -- Popular works
Electronic data processing -- Social aspects -- Popular works
Machine theory
Product design
title_display
How to speak machine : computational thinking for the rest of us
title_full
How to speak machine : computational thinking for the rest of us / John Maeda
title_short
How to speak machine
title_sub
computational thinking for the rest of us
topic_facet
Computer algorithms
Computer logic
Electronic data processing
Machine theory
Product design
Social aspects
Computer logic
Electronic data processing
Machine theory
Product design
Social aspects
Solr Details Tables
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record_details
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ils:.b26343216 | Book | Books | English | Portfolio/Penguin | [2019] | xv, 224 pages : illustrations ; 22 cm |
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