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Public perception of artificial intelligence in leadership : trust, skills, and desirability

Bibliographic Details
Main Author: Dorner, Felix-Constantin
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.14/47876
Summary: Topic: The integration of Artificial Intelligence (AI), particularly Generative AI, is transforming business processes and prompting questions about its potential role in leadership. This thesis investigates public perceptions of AI leadership in comparison to human leadership, focusing on key trust factors (ability, integrity, and benevolence) and the perceived competence of AI in essential leadership skills, and how these factors impact the desirability of AI in a leadership role. Methods: Two quantitative studies were conducted. Study 1 examined trust in AI leadership in direct comparison to trust in human leadership. Study 2 assessed public perceptions of AI9s capabilities in fulfilling leadership roles based on the 23 essential leadership skills identified in the O*NET Database. The studies are based on randomized samples from 314 participants (Study 1) and 207 participants (Study 2). Findings: Results from Study 1 revealed that human leaders are significantly more desired than AI leaders, driven by differences in perceived trustworthiness, (ability, integrity, and benevolence), whereas ability was the strongest factor. Study 2 showed that while AI is perceived as capable in technical skills, its lack of social skills, particularly negotiation and social perceptiveness, negatively affects its overall desirability and perceived capability as a leader. The results show that a decrease in perceived ability (trust factor) does lead to a significant decrease in trust, whereas an increase in perceived skill level does not lead to an increase in desirability. The findings highlight the need for AI to improve its social capabilities to be accepted in leadership roles.
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spelling Public perception of artificial intelligence in leadership : trust, skills, and desirabilityArtificial intelligence (AI)AI leadershipAI trustworthinessAI in workplaceAutomationPublic perceptionLeadership rolesChief executiveTrustAbilityIntegrityBenevolenceSkillsDesirabilityCapabilityInteligência artificial (IA)Liderança de IAConfiabilidade de IAIA no local de trabalhoAutomaçãoPercepção públicaPapéis de liderançaExecutivo-chefeConfiançaHabilidadeIntegridadeBenevolênciaHabilidadesDesejabilidadeCapacidadeTopic: The integration of Artificial Intelligence (AI), particularly Generative AI, is transforming business processes and prompting questions about its potential role in leadership. This thesis investigates public perceptions of AI leadership in comparison to human leadership, focusing on key trust factors (ability, integrity, and benevolence) and the perceived competence of AI in essential leadership skills, and how these factors impact the desirability of AI in a leadership role. Methods: Two quantitative studies were conducted. Study 1 examined trust in AI leadership in direct comparison to trust in human leadership. Study 2 assessed public perceptions of AI9s capabilities in fulfilling leadership roles based on the 23 essential leadership skills identified in the O*NET Database. The studies are based on randomized samples from 314 participants (Study 1) and 207 participants (Study 2). Findings: Results from Study 1 revealed that human leaders are significantly more desired than AI leaders, driven by differences in perceived trustworthiness, (ability, integrity, and benevolence), whereas ability was the strongest factor. Study 2 showed that while AI is perceived as capable in technical skills, its lack of social skills, particularly negotiation and social perceptiveness, negatively affects its overall desirability and perceived capability as a leader. The results show that a decrease in perceived ability (trust factor) does lead to a significant decrease in trust, whereas an increase in perceived skill level does not lead to an increase in desirability. The findings highlight the need for AI to improve its social capabilities to be accepted in leadership roles.Almeida, Filipa deVeritatiDorner, Felix-Constantin2025-01-22T16:24:26Z2024-10-152024-092024-10-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/47876urn:tid:203731085enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-13T01:35:28Zoai:repositorio.ucp.pt:10400.14/47876Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:36:20.750348Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Public perception of artificial intelligence in leadership : trust, skills, and desirability
title Public perception of artificial intelligence in leadership : trust, skills, and desirability
spellingShingle Public perception of artificial intelligence in leadership : trust, skills, and desirability
Dorner, Felix-Constantin
Artificial intelligence (AI)
AI leadership
AI trustworthiness
AI in workplace
Automation
Public perception
Leadership roles
Chief executive
Trust
Ability
Integrity
Benevolence
Skills
Desirability
Capability
Inteligência artificial (IA)
Liderança de IA
Confiabilidade de IA
IA no local de trabalho
Automação
Percepção pública
Papéis de liderança
Executivo-chefe
Confiança
Habilidade
Integridade
Benevolência
Habilidades
Desejabilidade
Capacidade
title_short Public perception of artificial intelligence in leadership : trust, skills, and desirability
title_full Public perception of artificial intelligence in leadership : trust, skills, and desirability
title_fullStr Public perception of artificial intelligence in leadership : trust, skills, and desirability
title_full_unstemmed Public perception of artificial intelligence in leadership : trust, skills, and desirability
title_sort Public perception of artificial intelligence in leadership : trust, skills, and desirability
author Dorner, Felix-Constantin
author_facet Dorner, Felix-Constantin
author_role author
dc.contributor.none.fl_str_mv Almeida, Filipa de
Veritati
dc.contributor.author.fl_str_mv Dorner, Felix-Constantin
dc.subject.por.fl_str_mv Artificial intelligence (AI)
AI leadership
AI trustworthiness
AI in workplace
Automation
Public perception
Leadership roles
Chief executive
Trust
Ability
Integrity
Benevolence
Skills
Desirability
Capability
Inteligência artificial (IA)
Liderança de IA
Confiabilidade de IA
IA no local de trabalho
Automação
Percepção pública
Papéis de liderança
Executivo-chefe
Confiança
Habilidade
Integridade
Benevolência
Habilidades
Desejabilidade
Capacidade
topic Artificial intelligence (AI)
AI leadership
AI trustworthiness
AI in workplace
Automation
Public perception
Leadership roles
Chief executive
Trust
Ability
Integrity
Benevolence
Skills
Desirability
Capability
Inteligência artificial (IA)
Liderança de IA
Confiabilidade de IA
IA no local de trabalho
Automação
Percepção pública
Papéis de liderança
Executivo-chefe
Confiança
Habilidade
Integridade
Benevolência
Habilidades
Desejabilidade
Capacidade
description Topic: The integration of Artificial Intelligence (AI), particularly Generative AI, is transforming business processes and prompting questions about its potential role in leadership. This thesis investigates public perceptions of AI leadership in comparison to human leadership, focusing on key trust factors (ability, integrity, and benevolence) and the perceived competence of AI in essential leadership skills, and how these factors impact the desirability of AI in a leadership role. Methods: Two quantitative studies were conducted. Study 1 examined trust in AI leadership in direct comparison to trust in human leadership. Study 2 assessed public perceptions of AI9s capabilities in fulfilling leadership roles based on the 23 essential leadership skills identified in the O*NET Database. The studies are based on randomized samples from 314 participants (Study 1) and 207 participants (Study 2). Findings: Results from Study 1 revealed that human leaders are significantly more desired than AI leaders, driven by differences in perceived trustworthiness, (ability, integrity, and benevolence), whereas ability was the strongest factor. Study 2 showed that while AI is perceived as capable in technical skills, its lack of social skills, particularly negotiation and social perceptiveness, negatively affects its overall desirability and perceived capability as a leader. The results show that a decrease in perceived ability (trust factor) does lead to a significant decrease in trust, whereas an increase in perceived skill level does not lead to an increase in desirability. The findings highlight the need for AI to improve its social capabilities to be accepted in leadership roles.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-15
2024-09
2024-10-15T00:00:00Z
2025-01-22T16:24:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/47876
urn:tid:203731085
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dc.language.iso.fl_str_mv eng
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dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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