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The Cost of Possibility : = U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties.
Record Type:
Electronic resources : Monograph/item
Title/Author:
The Cost of Possibility :/
Reminder of title:
U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties.
Author:
Lord, Paige.
Description:
1 online resource (107 pages)
Notes:
Source: Masters Abstracts International, Volume: 83-10.
Contained By:
Masters Abstracts International83-10.
Subject:
Artificial intelligence. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29163304click for full text (PQDT)
ISBN:
9798426817425
The Cost of Possibility : = U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties.
Lord, Paige.
The Cost of Possibility :
U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties. - 1 online resource (107 pages)
Source: Masters Abstracts International, Volume: 83-10.
Thesis (A.L.M.)--Harvard University, 2022.
Includes bibliographical references
Artificial intelligence (AI) has gone from being a theoretical branch of computer science to an applied branch of computer science, seemingly overnight. The increasing rate of innovation for AI technologies and the rapid deployment of AI across many industries promises solutions to some of humanity's most complicated problems, but it also poses risk to democracy's most sacred element - civil liberties. This paper explores the risks that facial recognition technology, a branch of AI, poses to privacy and due process rights when law enforcement uses it as a tool for investigation.This important work, culminating in two risk scorecards, serves to provide guidance as law enforcement entities embrace technology faster than the law can protect citizens and residents of the United States. The first risk scorecard evaluates common law enforcement facial recognition use cases against civil liberties and provides a risk score for each scenario. The second scorecard evaluates the same use cases across corporate ethical principles for building responsible AI, providing a risk score for each scenario. The ultimate goal of this work is to provide technologists, legal professionals, law enforcement and lawmakers with a perspective and recommendations to shape the deployment, use and governance decisions related to facial recognition technology.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798426817425Subjects--Topical Terms:
516317
Artificial intelligence.
Subjects--Index Terms:
Due processIndex Terms--Genre/Form:
542853
Electronic books.
The Cost of Possibility : = U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties.
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Artificial intelligence (AI) has gone from being a theoretical branch of computer science to an applied branch of computer science, seemingly overnight. The increasing rate of innovation for AI technologies and the rapid deployment of AI across many industries promises solutions to some of humanity's most complicated problems, but it also poses risk to democracy's most sacred element - civil liberties. This paper explores the risks that facial recognition technology, a branch of AI, poses to privacy and due process rights when law enforcement uses it as a tool for investigation.This important work, culminating in two risk scorecards, serves to provide guidance as law enforcement entities embrace technology faster than the law can protect citizens and residents of the United States. The first risk scorecard evaluates common law enforcement facial recognition use cases against civil liberties and provides a risk score for each scenario. The second scorecard evaluates the same use cases across corporate ethical principles for building responsible AI, providing a risk score for each scenario. The ultimate goal of this work is to provide technologists, legal professionals, law enforcement and lawmakers with a perspective and recommendations to shape the deployment, use and governance decisions related to facial recognition technology.
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click for full text (PQDT)
based on 0 review(s)
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