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When Machines Can Be Judge, Jury, and Executioner : Justice in the Age of Artificial Intelligence / Katherine B. Forrest.

By: Publisher: Hackensack, NJ : World Scientific Publishing Co. Pte. Ltd., [2021]Description: pages cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789811232725
Subject(s): DDC classification:
  • 345.730285 FOR 23
LOC classification:
  • KF9223 .F67 2021
Online resources:
Contents:
Introduction; Utilitarianism versus justice as fairness; AI and how it works; Transparency in decisions about human liberty : the means to the end do matter; Decision-making : the human as case study; Decision-making : AI as case study; As old as the hills : when humans assess risk; AI risk assessment tools : achieving moderate accuracy; COMPAS : case study of an AI risk assessment tool; COMPAS is not alone : other AI risk assessment tools; Accuracy over fairness; Lethal autonomous weapons and fairness; Conclusion.
Summary: "This book explores justice in the age of artificial intelligence. It argues that current AI tools used in connection with liberty decisions are based on utilitarian frameworks of justice and inconsistent with individual fairness reflected in the US Constitution and Declaration of Independence. It uses AI risk assessment tools and lethal autonomous weapons as examples of how AI influences liberty decisions. The algorithmic design of AI risk assessment tools can and do embed human biases. Designers and users of these AI tools have allowed some degree of compromise to exist between accuracy and individual fairness. Written by a former federal judge who lectures widely and frequently on AI and the justice system, this book is the first comprehensive presentation of the theoretical framework AI tools in the criminal justice system and lethal autonomous weapons utilize in decision-making. The book then provides the most comprehensive explanation as to why, tracing the evolution of the debate regarding racial and other biases embedded in such tools. No other book delves as comprehensively into the theory and practice of AI risk assessment tools"-- Provided by publisher.
List(s) this item appears in: NAAC 2021-22 | JULY 2022 RAMESH
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Item type Current library Shelving location Call number Status Date due Barcode
BOOKs BOOKs National Law School General Stacks 345.730285 FOR (Browse shelf(Opens below)) Available 38757

Includes bibliographical references.

Introduction;
Utilitarianism versus justice as fairness;
AI and how it works;
Transparency in decisions about human liberty : the means to the end do matter;
Decision-making : the human as case study;
Decision-making : AI as case study;
As old as the hills : when humans assess risk;
AI risk assessment tools : achieving moderate accuracy;
COMPAS : case study of an AI risk assessment tool;
COMPAS is not alone : other AI risk assessment tools;
Accuracy over fairness;
Lethal autonomous weapons and fairness;
Conclusion.

"This book explores justice in the age of artificial intelligence. It argues that current AI tools used in connection with liberty decisions are based on utilitarian frameworks of justice and inconsistent with individual fairness reflected in the US Constitution and Declaration of Independence. It uses AI risk assessment tools and lethal autonomous weapons as examples of how AI influences liberty decisions. The algorithmic design of AI risk assessment tools can and do embed human biases. Designers and users of these AI tools have allowed some degree of compromise to exist between accuracy and individual fairness. Written by a former federal judge who lectures widely and frequently on AI and the justice system, this book is the first comprehensive presentation of the theoretical framework AI tools in the criminal justice system and lethal autonomous weapons utilize in decision-making. The book then provides the most comprehensive explanation as to why, tracing the evolution of the debate regarding racial and other biases embedded in such tools. No other book delves as comprehensively into the theory and practice of AI risk assessment tools"-- Provided by publisher.

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