Publicação

Artificial intelligence and human values

Ver documento

Detalhes bibliográficos
Resumo:Artificial Intelligence (AI) is increasingly used in daily life. Where once decisions and choices were left to human management, technology now plays a much more incisive role. This topic has spawned several diverging and alarming opinions (e.g. Elon Musk and Stephen Hawkings), due to the various ethical susceptibilities that AI development spans. The present study attempts to perceive whether human values influence individuals’ attitudes towards AI evolution. This technology is exposed in several different contexts: in the chance that AI threatens each one of the values; the opposite case, where AI is beneficial; in the need (or lack thereof) for the presence of regulatory agents, and whether that changed people's initial decision. With a sample of 205 participants, and through quantitative methodology (questionnaire), as well as qualitative (semi-structured interviews), the conclusion is that equality, freedom, health and national security constitute a predictive power when it comes to the attitudes that individuals nurture towards AI evolution. More specifically, in the event that AI threatens equality, people develop unfavourable attitudes towards its evolution. The same happens for freedom, where people are also against AI evolution, whether it benefits or threatens human values. People tend to be in favour of AI evolution if it benefits health, but require the presence of regulatory agents. Lastly, the attitudes towards AI evolution are positive if it benefits national security. People still demonstrate generally positive attitudes in the event that this value is threatened by AI, but require the presence of regulatory agents.
Autores principais:Couto, Daniela Gaspar
Assunto:Artificial intelligence Human values Attitudes Regulatory agents Psicologia social Inteligência artificial Interação homem-máquina Evolução tecnológica Valores pessoais Valores culturais Atitude Regulação social
Ano:2018
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:ISCTE
Idioma:inglês
Origem:Repositório ISCTE

Registos relacionados

Registos relacionados