東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Public Policy and Trust in Artificia...

Bunbury-Thomas, Avril,

Linked to FindBook

Google Book

Amazon

博客來

Public Policy and Trust in Artificial Intelligence Decision Making /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Public Policy and Trust in Artificial Intelligence Decision Making // Avril Bunbury-Thomas.
Author:	Bunbury-Thomas, Avril,
Description:	1 electronic resource (125 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
Contained By:	Dissertations Abstracts International86-08B.
Subject:	Public policy. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31840658
ISBN:	9798304912150

Public Policy and Trust in Artificial Intelligence Decision Making /
Bunbury-Thomas, Avril,

Public Policy and Trust in Artificial Intelligence Decision Making /Avril Bunbury-Thomas. - 1 electronic resource (125 pages)

Source: Dissertations Abstracts International, Volume: 86-08, Section: B.

Technology is largely unregulated at present, which raises a safety issue for the automated decision-making process of multiagent systems (MAS) using AI applications. This study was conducted to explore whether a policy-making rule for decisions can protect the public from the social implications of biases, challenges, risks, and uncertainty while exposing a trust gap. Computers can dominate life, and this research was conducted to explore how to trust the decision-making process of MAS, mainly when there are no guardrails or regulations to manage the system. As a result, the generic qualitative inquiry was used to explore how concerned computer users are with the decision-making process of MAS and whether a policy-making rule for decisions can protect the public interest. The research question focused on how online university students and graduates perceive MAS decision-making processes and whether regulatory policies can demonstrate trust. Interviews were conducted with 10 participants between age 18 and 65 who live in the United States. The framework used to explain the trust phenomenon is mixed scanning theory, which allows for a regulatory policy approach to build trust in MAS decision making. The study's findings revealed that without protection, participants would continue to worry about trust. The concern for trust rests on collective action, course of action, and protection to shape the decision-making policies. As a result of these overarching results, policymakers are more likely to recognize the necessity of developing embedded support tools that can positively influence society, which can have implications for positive social change.

English

ISBN: 9798304912150Subjects--Topical Terms:

532803
Public policy.
Subjects--Index Terms:

Mediation

Public Policy and Trust in Artificial Intelligence Decision Making /
LDR:03112nmm a22004693i 4500 001 2434521
005 20250912102034.5
006 m o d
007 cr|nu||||||||
008 261011s2025 miu||||||m |||||||eng d
020 $a 9798304912150
035 $a (MiAaPQD)AAI31840658
035 $a AAI31840658
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Bunbury-Thomas, Avril, $e author. $3 3824525
245 1 0 $a Public Policy and Trust in Artificial Intelligence Decision Making / $c Avril Bunbury-Thomas.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (125 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: Dissertations Abstracts International, Volume: 86-08, Section: B.
500 $a Advisors: Campbell, Gregory Committee members: Hacker, Anne.
502 $b Ph.D. $c Walden University $d 2025.
520 $a Technology is largely unregulated at present, which raises a safety issue for the automated decision-making process of multiagent systems (MAS) using AI applications. This study was conducted to explore whether a policy-making rule for decisions can protect the public from the social implications of biases, challenges, risks, and uncertainty while exposing a trust gap. Computers can dominate life, and this research was conducted to explore how to trust the decision-making process of MAS, mainly when there are no guardrails or regulations to manage the system. As a result, the generic qualitative inquiry was used to explore how concerned computer users are with the decision-making process of MAS and whether a policy-making rule for decisions can protect the public interest. The research question focused on how online university students and graduates perceive MAS decision-making processes and whether regulatory policies can demonstrate trust. Interviews were conducted with 10 participants between age 18 and 65 who live in the United States. The framework used to explain the trust phenomenon is mixed scanning theory, which allows for a regulatory policy approach to build trust in MAS decision making. The study's findings revealed that without protection, participants would continue to worry about trust. The concern for trust rests on collective action, course of action, and protection to shape the decision-making policies. As a result of these overarching results, policymakers are more likely to recognize the necessity of developing embedded support tools that can positively influence society, which can have implications for positive social change.
546 $a English
590 $a School code: 0543
650 4 $a Public policy. $3 532803
650 4 $a Health sciences. $3 3168359
650 4 $a Technical communication. $3 3172863
650 4 $a Computer engineering. $3 621879
653 $a Mediation
653 $a Multi-agents
653 $a Peace
653 $a Public policy
653 $a Terrorism
653 $a Trust
690 $a 0630
690 $a 0566
690 $a 0643
690 $a 0464
690 $a 0800
710 2 $a Walden University. $b Public Policy and Administration. $e degree granting institution. $3 3815484
720 1 $a Campbell, Gregory $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-08B.
790 $a 0543
791 $a Ph.D.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31840658