Welcome to the first HEARTS workshop @CHI 2026! Rapid adoption of generative AI has outpaced the infrastructure needed to red team systems responsibly. This workshop tackles a core tension: scaling AI red teaming while centering human expertise and well-being. We convene academic, industry, government, and nonprofit practitioners to develop a shared vision for effective, humane red teaming and to identify concrete ways to better support evaluators as red teaming scales.
We structure the workshop around two complementary threads:
AI red teaming is increasingly central to identifying risks in deployed systems, yet it remains unclear how to scale red teaming to meet organizational demands while protecting evaluator expertise and well-being. We welcome participants from academia, industry, government, and nonprofits who work on AI evaluation, safety, and governance including AI developers, AI red teamers, HCI researchers, policymakers, and community advocates.
Topics of interest include, but are not limited to:
Options for Applying to the Workshop:
To ensure accessibility for all practitioners, we are providing 3 options to indicate your interest in our workshop:
Please select only one of the options to complete.
Statement of Interest Guidance: For those who want to provide more details about your background and interest, we offer the option of submitting a statement of interest. The statement of interest should include information about relevant experience or interest you have to the workshop, what you hope to gain from attending, and what you hope to contribute to the workshop.
Review Process: The organizers will make selections prioritizing relevance and a diverse mix of perspectives. At least one author of each accepted submission must attend in person.
Carnegie Mellon University
University of Edinburgh
Carnegie Mellon University
Carnegie Mellon University
University of Edinburgh
Humane Intelligence
Microsoft