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Orientador(es)
Resumo(s)
The growing interest and discussion around AI technologies and their implications for Humanity are more than ever at the centre of public attention. With the extensive research and development of such technologies, there is a pressing need to systematically consolidate the existing knowledge for future analysis of the consequences and implications of AI. Given the multidisciplinary nature of this field, this study focuses on the specific theme of accountability in Autonomous AI Products.
This study followed a Systematic Literature Review methodology (Okoli, 2015) to analyse a sample of articles, synthesise the findings of the review and present them for future researchers to leverage the knowledge gathered in this document. Our analysis reveals that the principles identified in the existing Responsible AI literature are also inherent in Autonomous AI research. Accountability was the focus of the study, and in many ways, this principle related to other Ethical principles, such as Fairness or Justice, and the systems put in place to regulate and oversee the future usage of these extraordinary technologies need to account for a wide range of people involved in the discussion, development, testing and regulation of Autonomous AI Products.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Autonomous AI Ethical Dilemmas Accountability Responsible AI Systematic Literature Review SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals
