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Beschreibung
"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"--
Über den Autor
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.
Inhaltsverzeichnis
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
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
Details
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780262548717 |
| ISBN-10: | 0262548712 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Blackwell, Alan F. |
| Hersteller: | The MIT Press |
| Verantwortliche Person für die EU: | Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Abbildungen: | 12 b&w illustrations |
| Maße: | 228 x 151 x 17 mm |
| Von/Mit: | Alan F. Blackwell |
| Erscheinungsdatum: | 06.08.2024 |
| Gewicht: | 0,288 kg |
Über den Autor
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.
Inhaltsverzeichnis
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
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
Details
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780262548717 |
| ISBN-10: | 0262548712 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Blackwell, Alan F. |
| Hersteller: | The MIT Press |
| Verantwortliche Person für die EU: | Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Abbildungen: | 12 b&w illustrations |
| Maße: | 228 x 151 x 17 mm |
| Von/Mit: | Alan F. Blackwell |
| Erscheinungsdatum: | 06.08.2024 |
| Gewicht: | 0,288 kg |
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