Engineering Project Management
A Hands-On Guide for Successful Engineering Projects Engelstalig
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Omschrijving
PRAISE FOR TRIAS ALGORITHMICA "A fascinating assessment for the age of AI. Who decides, on what basis, and backed by what kind of legitimacy? Everyone who cares about democracy should pay attention."
-SIMON JOHNSON, Ronald A. Kurtz Professor of Entrepreneurship and Head of the Global Economics and Management Group at MIT Sloan, 2024 Nobel Laureate in Economic Sciences, and co-author of Power and Progress "Algorithms do not merely push out the production possibility frontier. They reallocate control rights among citizens, silently and at scale. That an algorithm can serve as rule-maker, rule-executor, and referee does not mean it should. But absent deliberate democratic resistance, this is where we are heading. Trias Algorithmica anatomizes this pernicious algorithmic creep and offers tools to address it."
-DAVID AUTOR, Economics Department Head, Daniel (1972) and Gail Rubinfeld Professor, Google Technology and Society Visiting Fellow, Margaret MacVicar Faculty Fellow at MIT Department of Economics; Co-author of The Work of the Future "I build the systems this book is about. This is not a comfortable book for builders. It should not be. Engineering decisions are constitutional decisions wearing technical clothing. The most consequential systems of the coming decade will be judged less by what they can do than by whether their power can be answered for. Mann gives us a vocabulary, and an architecture, for that answering."
-AMNON SHASHUA, Founder, President, and CEO at Mobileye; and Sachs Professor of Computer Science at the Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering "Trias Algorithmica reframes AI governance around a simple democratic principle: people must retain the right to question, contest, and reshape the systems that shape them. A timely contribution to a more accountable digital future."
-AUDREY TANG, Taiwan's Cyber Ambassador and co-author of Civic.AI and Plurality.net "In this fascinating book, Mann argues that opaque, unaccountable algorithmic systems- like social media platforms, AI chatbots, or predictive policing-play three governance roles at once: they make policy, they execute the laws they've created, and they distribute justice according to their own notions of fairness. A compelling approach to restoring accountability in algorithmic governance."
-CATHY O'NEIL, Mathematician, Founder of ORCAA, and author of Weapons of Math Destruction and The Shame Machine
-SIMON JOHNSON, Ronald A. Kurtz Professor of Entrepreneurship and Head of the Global Economics and Management Group at MIT Sloan, 2024 Nobel Laureate in Economic Sciences, and co-author of Power and Progress "Algorithms do not merely push out the production possibility frontier. They reallocate control rights among citizens, silently and at scale. That an algorithm can serve as rule-maker, rule-executor, and referee does not mean it should. But absent deliberate democratic resistance, this is where we are heading. Trias Algorithmica anatomizes this pernicious algorithmic creep and offers tools to address it."
-DAVID AUTOR, Economics Department Head, Daniel (1972) and Gail Rubinfeld Professor, Google Technology and Society Visiting Fellow, Margaret MacVicar Faculty Fellow at MIT Department of Economics; Co-author of The Work of the Future "I build the systems this book is about. This is not a comfortable book for builders. It should not be. Engineering decisions are constitutional decisions wearing technical clothing. The most consequential systems of the coming decade will be judged less by what they can do than by whether their power can be answered for. Mann gives us a vocabulary, and an architecture, for that answering."
-AMNON SHASHUA, Founder, President, and CEO at Mobileye; and Sachs Professor of Computer Science at the Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering "Trias Algorithmica reframes AI governance around a simple democratic principle: people must retain the right to question, contest, and reshape the systems that shape them. A timely contribution to a more accountable digital future."
-AUDREY TANG, Taiwan's Cyber Ambassador and co-author of Civic.AI and Plurality.net "In this fascinating book, Mann argues that opaque, unaccountable algorithmic systems- like social media platforms, AI chatbots, or predictive policing-play three governance roles at once: they make policy, they execute the laws they've created, and they distribute justice according to their own notions of fairness. A compelling approach to restoring accountability in algorithmic governance."
-CATHY O'NEIL, Mathematician, Founder of ORCAA, and author of Weapons of Math Destruction and The Shame Machine
Specificaties
- Auteur:
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Uitgever:
- ISBN:9781394242986
- Bindwijze:Hardback
- Aantal Pagina's:464
- Taal:Engelstalig
- Druk:1e
- Publicatiedatum:September 2024
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Rubriek:
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