Ryosuke Sonoda

Mutual Information-Based Fair Active Learning

Machine learning (ML) has become central to data-driven decision making, thereby necessitating fairness to individuals and society. Quality and quantity of labeled data play a crucial role in realizing fair ML models as inadequate and unreliable labels can result in biased outcomes. In this context,…