How Can We Trust and Control Agentic AI? Toward Alignment, Robustness, and Verifiability in Autonomous LLM Agents

About the Workshop

Agentic AI marks a new frontier for artificial intelligence: systems that move beyond static prediction to autonomous reasoning, tool use, and sustained collaboration with humans and society. These agents hold the potential to transform healthcare, education, robotics, and enterprise automation. Realizing this promise requires not only technical advances, but also ensuring that such systems remain aligned with human values, resilient under real-world complexity, and verifiable in ways that inspire lasting trust and effective control.

The AAAI 2026 Workshop on Trust and Control in Agentic AI convenes leading voices from research, industry, and policy to shape this agenda. We invite contributions that advance the principles and practice of alignment, robustness, and verifiability in agentic systems, spanning core algorithms, evaluation methods, institutional frameworks, and governance. By fostering cross-disciplinary dialogue and catalyzing new collaborations, the workshop aims to chart pathways for deploying agentic AI responsibly and at scale, ensuring that its benefits are realized broadly and equitably.