"The goal of this book is to establish an alternative agenda for commentary on AI that emphasizes the opportunities for human-centered system design by prioritizing direct specification of computer behavior. Drawing on the tradition of end-user programming research and resulting products and features, case studies show the ways that usable and controllable modes of abstract representation - moral codes - are fundamental to human freedom and creativity when using computers"--
"The goal of this book is to establish an alternative agenda for commentary on AI that emphasizes the opportunities for human-centered system design by prioritizing direct specification of computer behavior. Drawing on the tradition of end-user programming research and resulting products and features, case studies show the ways that usable and controllable modes of abstract representation - moral codes - are fundamental to human freedom and creativity when using computers"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Alan F. Blackwell is Professor of Interdisciplinary Design in the Cambridge University department of Computer Science and Technology. He is a Fellow of Darwin College Cambridge, cofounder with David Good of the Crucible Network for Research in Interdisciplinary Design, and with David and Lara Allen the Global Challenges strategic research initiative of the University of Cambridge.
Inhaltsangabe
Acknowledgments 1 Are You Paying Attention? 2 Would You Like Me to Do the Rest? When AI Makes Code 3 Why Is Code Not like AI? 4 Intending and Attending: Chatting to the Stochastic Parrots 5 A Meaningful Conversation with the Internet 6 Making Meaningful Worlds: Being at Home in Code 7 Lessons from Smalltalk: Moral Code before Machine Learning 8 Explanation and Transparency: Beyond No-Code / Low-Code 9 Why Code Is More Important than Flat Design 10 The Craft of Coding 11 How Can Stochastic Parrots Help Us Code? 12 Codes for Creativity and Surprise 13 Making Code Less WEIRD 14 Re-Imagining AI to Invent More Moral Codes 15 Conclusion Notes Index
Acknowledgments 1 Are You Paying Attention? 2 Would You Like Me to Do the Rest? When AI Makes Code 3 Why Is Code Not like AI? 4 Intending and Attending: Chatting to the Stochastic Parrots 5 A Meaningful Conversation with the Internet 6 Making Meaningful Worlds: Being at Home in Code 7 Lessons from Smalltalk: Moral Code before Machine Learning 8 Explanation and Transparency: Beyond No-Code / Low-Code 9 Why Code Is More Important than Flat Design 10 The Craft of Coding 11 How Can Stochastic Parrots Help Us Code? 12 Codes for Creativity and Surprise 13 Making Code Less WEIRD 14 Re-Imagining AI to Invent More Moral Codes 15 Conclusion Notes Index
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