Expo Talk Panel
Theater A

In recent years, there has been a growing awareness of the need to consider broader societal impacts when developing and deploying AI models. Research areas like algorithmic fairness, explainability, safety, robustness, and trustworthiness have contributed significantly to our understanding of possible approaches for developing more responsible and ethical AI. Despite these research advances, however, there remain significant challenges to operationalizing such approaches in practice. This talk will discuss technical, legal, and operational challenges that practitioners face when attempting to address issues of bias and lack of transparency in their models. These include tensions between multiple ethical desiderata like fairness and privacy, difficulties of large-scale ethical data collection, and challenges of balancing scalability and bespoke evaluation when designing compliance systems. This talk will also share some of Sony’s approaches for addressing these challenges.