Dagstuhl-Seminar — Multimodal Data Quality – Human, Computational, and Institutional Perspectives

This Dagstuhl Seminar is relevant to the diverse fields of data management, data engineering, human computation and crowdsourcing, data-driven decision-making, responsible AI, and data governance. The seminar looks at three perspectives: Human, Computational, and Institutional. There is an evident need to bring together perspectives from domain experts who understand the properties and semantics of the datasets (human perspective); from algorithmic advancements that can help improve data quality (computational perspective); and from institutional imperatives including regulations, standards and organizational policies that create necessary safeguards for governance of data pipeline processes (institutional perspective).

Topics: Data Quality; Bias and Fairness; Responsible AI