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Biographie et livres de Frank Pasquale

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Frank Pasquale is Professor of Law at the University of Maryland, and author of The Black Box Society (2015). He is an expert on the law of artificial intelligence and algorithms. He has been published in Commonwealth, and his scholarly work has explored the implications of Catholic social thought for innovation policy.
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Téléchargez le livre :  Data Access and AI Explainability
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Data Access and AI Explainability

Frank Pasquale


Cambridge University Press

2025-09-30

PDF, ePub

As managers digitize judgment using AI, their evaluations of persons risk imposing benefits and burdens in opaque and unaccountable ways. A wide range of harms may occur when access to one's personal data (and meaningful information about its use) is...

21,45

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Télécharger le livre :  Oxford Handbook of Ethics of AI
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Oxford Handbook of Ethics of AI


Sunit Das , Markus D. Dubber , Frank Pasquale


This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches....

Parution : 2020-06-30
Format(s) : PDF, ePub
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17,99
Télécharger le livre :  Care for the World
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Care for the World


Frank Pasquale


Convening leading scholars to reflect on the practical and philosophical implications of religious values, this volume is an accessible introduction to Catholic social thought on contemporary affairs. Its gracefully written chapters cover three themes - direct...

Parution : 2019-06-20
Format(s) : PDF, ePub
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27,40
Télécharger le livre :  Transparent Data Mining for Big and Small Data
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Transparent Data Mining for Big and Small Data


Tania Cerquitelli , Frank Pasquale , Daniele Quercia


This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental...

Parution : 2017-05-09
Format(s) : PDF, ePub
Éditeur : Springer
Collection : Studies in Big Data
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132,72

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