Developments in Artificial Intelligence (AI) offer new innovative ways to contribute to the well-being and progress of individuals and society. However, due to a multitude of incidents with AI (e.g., discrimination through AI predictions), the accountability of AI becomes more and more important. In general, accountability means that actions performed can be clearly assigned to a person. Applied to AI, accountable AI-based information systems (AAIS) refer to a socio-technical set of relationships consisting of humans interacting with AI technologies to perform certain tasks, where the actions taken in the course of the interaction can be uniquely attributed to a person. AAIS is intended to ensure that someone can be held legally responsible if the AI-based IS fails. While calls to develop and embed mechanisms to create accountability in AI-based IS are growing, research on AAIS is still in its infancy. This project aims to answer three research questions: (1) "What facets of accountability are relevant to AAIS?", (2) "What impact does accountability have on perceptions during the development, operation, and use of AI?", and (3) "How does accountability affect the behavior of AI users and architects?".

• Contact: Ali Sunyaev
• Project Group: Ali Sunyaev, Guangyu Du, Long Hoang Nguyen
• Funding: Deutsche Forschungsgemeinschaft (DFG)
• Partner: Prof. Dr. Alexander Benlian, Technische Universität Darmstadt
• Start date: before 01.04.2022