東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

The Cost of Possibility : = U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Cost of Possibility :/
其他題名:	U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties.
作者:	Lord, Paige.
面頁冊數:	1 online resource (107 pages)
附註:	Source: Masters Abstracts International, Volume: 83-10.
Contained By:	Masters Abstracts International83-10.
標題:	Artificial intelligence. -
電子資源:	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.
LDR:02806nmm a2200433K 4500 001 2356348
005 20230612102704.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798426817425
035 $a (MiAaPQ)AAI29163304
035 $a AAI29163304
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Lord, Paige. $3 3696830
245 1 4 $a The Cost of Possibility : $b U.S. Law Enforcement Use of Facial Recognition Technology and Violations of Civil Liberties.
264 0 $c 2022
300 $a 1 online resource (107 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 83-10.
500 $a Advisor: Miner, Michael ; Reveron, Derek.
502 $a Thesis (A.L.M.)--Harvard University, 2022.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Artificial intelligence. $3 516317
650 4 $a Law. $3 600858
650 4 $a Ethics. $3 517264
650 4 $a Computer science. $3 523869
650 4 $a Law enforcement. $3 607408
650 4 $a Information technology. $3 532993
650 4 $a Information science. $3 554358
653 $a Due process
653 $a Facial recognition technology
653 $a Privacy
653 $a Civil liberties
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0800
690 $a 0398
690 $a 0394
690 $a 0984
690 $a 0489
690 $a 0723
690 $a 0206
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Harvard University. $b Extension Studies. $3 3560717
773 0 $t Masters Abstracts International $g 83-10.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29163304 $z click for full text (PQDT)