As Artificial Intelligence (AI) becomes increasingly important in modern society, there is a pressing need to address the ethical issues associated with these technologies. AI Ethics is a necessary endeavor to capitalize on the benefits of AI while minimizing its risks. However, it faces important challenges related to normative urgency, multi-purpose nature of AI, and multitude of stakeholders operating in the AI space. This doctoral dissertation builds on the premise that empirical information is valuable for AI Ethics to address these challenges and realize its normativemandate. The main ambition is to make an empirical contribution that facilitates the reflective development of AI, which assists the communities operating in the AI space to engage in a critical reflection on AI.
|Award date||14 Jul 2022|
|Publication status||Published - 2022|
- Artificial Intelligence
- Empirical Research