First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI)

Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann

Abstract: With the recent advancements in artificial intelligence (AI) and Machine Learning (ML), data-driven automated systems are being deployed in numerous high-stakes applications. Central to AI's effectiveness is its foundation in data. This workshop aims to bring together researchers from academia and industry to discuss the role of data management to guide the trustworthy design of AI-based applications. We plan the first edition of the workshop to include invited talks and a panel discussion with researchers from neighboring communities like ML, FAccT, HCI and Theoretical Computer science. The workshop aims to create a collaborative platform for these diverse communities to contribute to the evolving narrative of responsible AI development.