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

Trustworthy Artificial Intelligence:...

Glaum, Joana,

FindBook

Google Book

Amazon

博客來

Trustworthy Artificial Intelligence: The Impact of Certification Labels on End-Users' Trust and Intention to use = = Inteligencia Artificial de Confianca: O Impacto dos Rotulos de Certificacao na Confianca e na Intencao de Utilizacao dos Utilizadores Finais /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trustworthy Artificial Intelligence: The Impact of Certification Labels on End-Users' Trust and Intention to use =/ Joana Glaum.
其他題名:	Inteligencia Artificial de Confianca: O Impacto dos Rotulos de Certificacao na Confianca e na Intencao de Utilizacao dos Utilizadores Finais /
作者:	Glaum, Joana,
面頁冊數:	1 electronic resource (90 pages)
附註:	Source: Masters Abstracts International, Volume: 86-03.
Contained By:	Masters Abstracts International86-03.
標題:	Communication. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31368523
ISBN:	9798384271420

Trustworthy Artificial Intelligence: The Impact of Certification Labels on End-Users' Trust and Intention to use = = Inteligencia Artificial de Confianca: O Impacto dos Rotulos de Certificacao na Confianca e na Intencao de Utilizacao dos Utilizadores Finais /
Glaum, Joana,

Trustworthy Artificial Intelligence: The Impact of Certification Labels on End-Users' Trust and Intention to use =Inteligencia Artificial de Confianca: O Impacto dos Rotulos de Certificacao na Confianca e na Intencao de Utilizacao dos Utilizadores Finais /Joana Glaum. - 1 electronic resource (90 pages)

Source: Masters Abstracts International, Volume: 86-03.

With the growing influence of Artificial Intelligence (AI) systems, concerns about their trustworthiness have emerged. Therefore, this dissertation explores the critical issue of trust in AI and introduces certification labels as a method to enhance end users' trustworthiness perceptions of AI. To uncover whether a certification label for trustworthy AI (TAI) has the potential to increase end-users' trust in and the acceptance of AI systems, two experimental studies were conducted in the scope of this research.Study 1 found that a certification label for TAI can have a positive impact on end-users' trust in and the acceptance of AI systems. Study 2 identified that transparently communicating the requirements used for the certification on the certification label translates into higher levels of trust in the AI system. Moreover, it was examined that the requirement Transparencywas perceived as most important regarding AI trustworthiness.The results from these studies have clear implications for policymakers, developers, and organizations that seek to enhance the trustworthiness of AI, suggesting that certification labels for TAI are an effective method to communicate trustworthiness of AI systems to end-users and thereby to increase the acceptance of their AI-based products and services. Considering the potential competitive advantage of embedding TAI in products and services, the dissertation underscores the relevance of TAI in shaping the future landscape of AI technologies. Further, the findings also complement the knowledge on labels (in general) and the effectiveness of different label designs.

English

ISBN: 9798384271420Subjects--Topical Terms:

524709
Communication.

Trustworthy Artificial Intelligence: The Impact of Certification Labels on End-Users' Trust and Intention to use = = Inteligencia Artificial de Confianca: O Impacto dos Rotulos de Certificacao na Confianca e na Intencao de Utilizacao dos Utilizadores Finais /
LDR:04783nmm a22004693i 4500 001 2431309
005 20250603111425.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798384271420
035 $a (MiAaPQD)AAI31368523
035 $a (MiAaPQD)Portugal104001445174
035 $a AAI31368523
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Glaum, Joana, $e author. $3 3820051
245 1 0 $a Trustworthy Artificial Intelligence: The Impact of Certification Labels on End-Users' Trust and Intention to use = $b Inteligencia Artificial de Confianca: O Impacto dos Rotulos de Certificacao na Confianca e na Intencao de Utilizacao dos Utilizadores Finais / $c Joana Glaum.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (90 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: 86-03.
500 $a Advisors: de Almeida, Filipa.
502 $b M.M. $c Universidade Catolica Portuguesa (Portugal) $d 2024.
520 $a With the growing influence of Artificial Intelligence (AI) systems, concerns about their trustworthiness have emerged. Therefore, this dissertation explores the critical issue of trust in AI and introduces certification labels as a method to enhance end users' trustworthiness perceptions of AI. To uncover whether a certification label for trustworthy AI (TAI) has the potential to increase end-users' trust in and the acceptance of AI systems, two experimental studies were conducted in the scope of this research.Study 1 found that a certification label for TAI can have a positive impact on end-users' trust in and the acceptance of AI systems. Study 2 identified that transparently communicating the requirements used for the certification on the certification label translates into higher levels of trust in the AI system. Moreover, it was examined that the requirement Transparencywas perceived as most important regarding AI trustworthiness.The results from these studies have clear implications for policymakers, developers, and organizations that seek to enhance the trustworthiness of AI, suggesting that certification labels for TAI are an effective method to communicate trustworthiness of AI systems to end-users and thereby to increase the acceptance of their AI-based products and services. Considering the potential competitive advantage of embedding TAI in products and services, the dissertation underscores the relevance of TAI in shaping the future landscape of AI technologies. Further, the findings also complement the knowledge on labels (in general) and the effectiveness of different label designs.
520 $a Com a crescente influencia da Inteligencia Artificial (IA), surgiram preocupacoes quanto a sua fiabilidade. Por conseguinte, esta dissertacao explora a questao critica da confianca na IA e introduz rotulos de certificacao como um metodo para melhorar as percepcoes de fiabilidade da IA por parte dos utilizadores finais. Para descobrir se um rotulo de certificacao para uma IA fiavel (IAF) tem potencial para aumentar a confianca dos utilizadores finais e a aceitacao da IA, foram realizados dois estudos experimentais.O estudo 1 concluiu que um rotulo de certificacao para uma IAF pode ter um impacto positivo na confianca dos utilizadores finais e na aceitacao da IA. O estudo 2 identificou que a comunicacao transparente dos requisitos utilizados para a certificacao no rotulo de certificacao se traduz em niveis mais elevados de confianca na IA. Alem disso, verificou-se que o requisito Transparencia foi considerado o mais importante no que respeita a fiabilidade da IA.Os resultados destes estudos tem implicacoes claras para os decisores politicos, os criadores de IA, e as organizacoes, sugerindo que os rotulos de certificacao para as IAF sao um metodo eficaz para comunicar a fiabilidade da IA aos utilizadores finais e, assim, aumentar a aceitacao da IA. Tendo em conta a potencial vantagem competitiva da incorporacao de IAF em produtos e servicos, a dissertacao sublinha a relevancia das IAF na definicao do futuro panorama da IA. Alem disso, os resultados tambem complementam o conhecimento sobre os rotulos (em geral) e a eficacia das diferentes concepcoes de rotulos.
546 $a English
590 $a School code: 7020
650 4 $a Communication. $3 524709
650 4 $a Privacy. $3 528582
650 4 $a Ethics. $3 517264
650 4 $a Cognition & reasoning. $3 3556293
650 4 $a Accountability. $3 3435301
650 4 $a Certification. $3 1327908
650 4 $a Decision making. $3 517204
650 4 $a Trust. $3 536251
650 4 $a Behavioral psychology. $3 2122788
650 4 $a Cognitive psychology. $3 523881
650 4 $a Home economics. $3 551902
650 4 $a Finance. $3 542899
690 $a 0394
690 $a 0800
690 $a 0459
690 $a 0272
690 $a 0384
690 $a 0633
690 $a 0386
690 $a 0508
690 $a 0454
710 2 $a Universidade Catolica Portuguesa (Portugal). $e degree granting institution. $3 3771925
720 1 $a de Almeida, Filipa $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-03.
790 $a 7020
791 $a M.M.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31368523