With AI-based decision-making systems increasingly being deployed in various sectors, research on fairness in AI has become even more important. In this position paper, we highlight a number of significant practical applicability limitations and regulatory compliance issues associated with existing bias mitigation methods. These limitations indicate a pressing need for a change in the approach to their development. In order to address them, we provide a list of recommendations for new bias mitigation methods that are not only effective, but can also be applied in real-world scenarios and comply with legal requirements.
|Title of host publication||Aequitas 2023: Workshop on Fairness and Bias in AI | co-located with ECAI 2023, Kraków, Poland|
|Publisher||CEUR Workshop Proceedings|
|Number of pages||6|
|Publication status||Accepted/In press - 21 Jul 2023|