Recommender Systems as an algorithmic class hide lurking risks despite their prevalence in academic and commercial circles. My specific research revolves around tracking and mitigating potential risks specifically in the Public Library domain. In collaboration with the National Library of The Netherlands, I am working on investigating whether the incorporation of Recommenders in a library's loaning system serves their social responsibility and purpose, with securing inclusivity being the main point of interest.
Responsible Recommenders in the Public Library
5th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2022
Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands

Daniil, S. (2022). Ethical Recommenders in the Public Library Sector. In AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. doi:10.1145/3514094.3539536