#AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI

The AAAI 2023 Workshop on Representation Learning for Responsible Human-Centric AI (R2HCAI) brought together researchers who are broadly interested in representation learning for responsible human-centric AI. The goal of the workshop was to facilitate the development and adoption of AI systems that can enhance, augment, and improve the quality of human life. We had six inspiring invited talks from renowned researchers that covered a wide range of research in the field of responsible human-centric AI. Marzyeh Ghassemi gave a talk on designing machine learning processes for equitable health systems, while Daniel Ruckert shared their recent work on human-centered AI for medical imaging. Kathy Meier-Hellstern shared a framework for responsible AI for large models, and Jacob Andreas presented their research towards natural language supervision.