Regular papers
Research papers of up to 6 pages, excluding references and supplementary material.
IEEE SaTML Workshop
AdvML Frontiers aims to form an interdisciplinary community of human-centered researchers within trustworthy AI. Although individual researchers rely on human-centered methods and several published SaTML papers include human-factors components, there is not yet a dedicated community around this work. The workshop welcomes senior researchers and PhD students already working on—or interested in—human factors in trustworthy machine learning, with a low barrier to entry for those who want to learn, participate, and network.
We invite human-centered work on trustworthy machine learning systems, especially interdisciplinary research spanning machine learning, security, safety, HCI, ethics, and the social sciences.
Research papers of up to 6 pages, excluding references and supplementary material.
Up to 4 pages on visionary ideas, long-term challenges, current debates, overlooked questions, or demonstrations.
Non-archival and open to work in progress. Submissions do not need to be anonymized. Concurrent and previously archived work is welcome, and accepted papers will receive either a contributed spotlight or poster presentation.
The submission site will be announced in the near future.
To be announced.
May 3, 2027 · 9 AM–4 PM · Reykjavík, Iceland · Venue forthcoming
15 minutes
45 minutes · Speaker and talk to be announced
Speaker, title, and abstract to be announced.
30 minutes
Paper titles and presentation order will be added after acceptance decisions.
15 minutes
45 minutes · Speaker and talk to be announced
Speaker, title, and abstract to be announced.
30 minutes
Paper titles and presentation order will be added after acceptance decisions.
60 minutes
90 minutes
1:00–1:30 PM
45 minutes · Speaker and talk to be announced
Speaker, title, and abstract to be announced.
45 minutes
Discussion with the keynote speakers and selected workshop organizers. The final panel lineup and topic will be announced with the program.
5 minutes

IBM Research

Independent Researcher

Stanford University

Michigan State University

Arizona State University

UC Santa Barbara

CISPA

University of Pennsylvania

Wayne State University