Call for Workshops
Workshop track
SaTML 2027 will feature a workshop track that provides a venue for focused discussions on emerging topics in trustworthy and secure machine learning. We invite proposals for workshops that bring together researchers, practitioners, policymakers, and other stakeholders to explore challenges, opportunities, and future directions in the field.
Workshops should address timely and relevant themes that advance the scientific understanding or practical deployment of trustworthy and secure machine learning. We particularly encourage proposals that highlight positive societal impact, including applications of AI that support underserved or disadvantaged communities.
Workshops may take a variety of formats, including invited talks, panel discussions, paper presentations, interactive sessions, tutorials, or community-building activities. We welcome proposals that foster interdisciplinary exchange, encourage broad participation, and help shape future research agendas.
Workshop organizers will be responsible for defining the workshop format, selecting speakers or contributions, and coordinating the workshop program. Accepted workshops will be held in conjunction with the conference, and outcomes and discussions may be shared with the broader SaTML community.