Publicação
The Influences of Trust and AI Ethics on AI Use Acceptance in Politics: A Public Perception Survey
| Resumo: | This master thesis discusses concepts that explain public perceptions of AI use acceptance in the context of politics. The research addresses the growing concern about AI's impact on decision-making processes and democratic politics, filling a gap in understanding how the public views AI's role in these areas. It explores the influence of AI trust and explainable AI on acceptance of AI use and tests the Attitudes towards AI scale against it. Furthermore, the influence of AI ethics on AI trust is included. Using a cross-sectional research design, an online questionnaire survey is analyzed using the PLS-SEM method to find statistical relationships. Trust and positive attitudes towards AI are found to be the most important factors influencing the acceptance of AI use in politics, while AI ethics influence trust in AI. Therefore, the study suggests actions for policymakers and politicians to foster trust in AI technologies through transparent communication, clear privacy policies, and continuous education on the topic, leading to more understandable and transparent AI systems. It also shows that the public trusts politicians more when AI is used for simple and administrative tasks than for decisionmaking tasks. According to the findings, the public should engage in discussions around the topic to strengthen AI democracy and to guide where AI should and should not be used in politics. Further research should focus on different areas of AI, such as generative AI, robotics, or expert systems, in order to gain deeper insights. On the other hand, the topic in general, but especially AI ethics in politics, should be studied longitudinally to understand the rapidly evolving developments in the topic. |
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| Autores principais: | Müller, Victoria |
| Assunto: | Artificial Intelligence (AI) AI Trust AI Ethics AI in Politics Public Perceptions of AI SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 16 - Peace, justice and strong institutions |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso embargado |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | This master thesis discusses concepts that explain public perceptions of AI use acceptance in the context of politics. The research addresses the growing concern about AI's impact on decision-making processes and democratic politics, filling a gap in understanding how the public views AI's role in these areas. It explores the influence of AI trust and explainable AI on acceptance of AI use and tests the Attitudes towards AI scale against it. Furthermore, the influence of AI ethics on AI trust is included. Using a cross-sectional research design, an online questionnaire survey is analyzed using the PLS-SEM method to find statistical relationships. Trust and positive attitudes towards AI are found to be the most important factors influencing the acceptance of AI use in politics, while AI ethics influence trust in AI. Therefore, the study suggests actions for policymakers and politicians to foster trust in AI technologies through transparent communication, clear privacy policies, and continuous education on the topic, leading to more understandable and transparent AI systems. It also shows that the public trusts politicians more when AI is used for simple and administrative tasks than for decisionmaking tasks. According to the findings, the public should engage in discussions around the topic to strengthen AI democracy and to guide where AI should and should not be used in politics. Further research should focus on different areas of AI, such as generative AI, robotics, or expert systems, in order to gain deeper insights. On the other hand, the topic in general, but especially AI ethics in politics, should be studied longitudinally to understand the rapidly evolving developments in the topic. |
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