國立虎尾科技大學 |

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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Trustworthy Artificial Intelligence: The Impact of Certification Labels on End-Users' Trust and Intention to use =/ Joana Glaum.
Reminder of title:	Inteligencia Artificial de Confianca: O Impacto dos Rotulos de Certificacao na Confianca e na Intencao de Utilizacao dos Utilizadores Finais /
Author:	Glaum, Joana,
Description:	1 electronic resource (90 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-03.
Contained By:	Masters Abstracts International86-03.
Subject:	Communication. -
Online resource:	http://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:

556422
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 /
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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.
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