KISSHOME (KI-gestützte und nutzerzentrierte Sicherheit im Smart Home)

My research project explores the dynamics of data sharing in the development of AI-based IT security software for smart home networks, a critical area given the increasing prevalence of smart devices. While AI has shown great promise across various sectors, its effectiveness often hinges on the availability of large datasets provided by users. This project addresses the gap in understanding how to encourage pro-social data sharing among users, which is essential for improving AI systems that benefit the public good.

As part of the "KISSHOME" project, which focuses on creating AI-based IT security solutions for smart home networks, my research investigates the factors influencing individuals' willingness to share data. This involves quantitative surveys to measure attitudes towards data sharing and qualitative interviews to understand underlying motivations. I expect to uncover strategies to promote generalised reciprocity in data sharing, ensuring the success of AI in protecting smart home networks.

The findings will have significant implications for enhancing digital security by fostering cooperative data-sharing practices in various AI applications.