Artificial Intelligence for Social Good
Editat de Josh Cowlsen Limba Engleză Paperback – 14 oct 2023
Previously published in Philosophy & Technology Volume 34, supplement issue 1, November 2021
Chapters Artificial Intelligence for Social Good and Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 632.37 lei 6-8 săpt. | |
| Springer Nature Switzerland – 14 oct 2023 | 632.37 lei 6-8 săpt. | |
| Hardback (1) | 638.43 lei 6-8 săpt. | |
| Springer Nature Switzerland – 13 oct 2022 | 638.43 lei 6-8 săpt. |
Preț: 632.37 lei
Preț vechi: 743.97 lei
-15% Nou
Puncte Express: 949
Preț estimativ în valută:
121.02€ • 125.02$ • 100.72£
121.02€ • 125.02$ • 100.72£
Carte tipărită la comandă
Livrare economică 26 martie-09 aprilie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031183720
ISBN-10: 303118372X
Pagini: 123
Ilustrații: V, 123 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2022
Editura: Springer Nature Switzerland
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 303118372X
Pagini: 123
Ilustrații: V, 123 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2022
Editura: Springer Nature Switzerland
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
‘AI for Social Good’: Whose Good and Who’s Good? Introduction to the Special Issue on Artificial Intelligence for Social Good.- Artificial Moral Agents Within an Ethos of AI4SG.- In the Frame: the Language of AI.- Artificial Interdisciplinarity: Artificial Intelligence for Research on Complex Societal Problems.- Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias.- Beyond a Human Rights-Based Approach to AI Governance: Promise, Pitfalls, Plea.- Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI.- How to Handle Armed Conflict Data in a Real-World Scenario?.
Notă biografică
Josh Cowls is a Research Associate in Data Ethics at The Alan Turing Institute and a member of the Institute’s public policy programme, where he works with government bodies to translate principles of digital ethics into practice for policymakers. A Turing Doctoral Student, Josh’s research agenda centers on democratic decision-making in the digital era, and he is the author or co-author of work on AI ethics, state surveillance, online agenda-setting and the use of web archives, in publications such as New Media & Society, Minds and Machines, and in numerous edited volumes.
Textul de pe ultima copertă
This text interrogates the notion and considers the implication that AI functionally could and ethically should be harnessed for 'socially good' purposes. It includes an introduction, as well as research articles followed by commentaries. It appeals to students and researchers working in or interested in philosophy of technology.
Previously published as a Special Issue in the journal: Philosophy & Technology "Artificial Intelligence for Social Good"
Chapters Artificial Intelligence for Social Good and Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Caracteristici
Reveals renewed interest in artificial intelligence research in last decade
Considers both the risks and benefits of deploying AI-based tools for the 'socially good'
Explores AI-based responses to help meet the UN's Sustainable Development Goals by 2030
Considers both the risks and benefits of deploying AI-based tools for the 'socially good'
Explores AI-based responses to help meet the UN's Sustainable Development Goals by 2030