We are honored to welcome Ming C. Lin, Distinguished University Professor at the University of Maryland and a globally recognized leader in AI, robotics, simulation, and virtual environments, as a keynote speaker at AIces 2026.
Her keynote, “Socially Responsible and Trustworthy AI,” explores cutting-edge methods for ensuring that modern AI systems align with human needs, values, and safety expectations. Dr. Lin will discuss:
- Model Alignment: Techniques for aligning LLMs and VLMs with diverse demographic and personality traits to support equitable outcomes and community-wide engagement, especially in areas like health messaging.
- Safe Reinforcement Learning: New approaches that integrate Linear Temporal Logic and differentiable simulation to ensure safety while improving learning efficiency.
- Greener AI: A Time-Aware World Model (TAWM) that adaptively samples across timescales, reducing training cost while improving accuracy and energy efficiency.
Together, these innovations illustrate how socially responsible AI research can deliver fairer, safer, and more reliable technology for all population groups.
Dr. Lin is a Fellow of the ACM, IEEE, NAI, Eurographics, SIGGRAPH Academy, and IEEE VR Academy, with more than 400 publications and numerous awards recognizing her impact across computing, AI, and virtual reality.
Join us at AIces 2026 to learn directly from Ming C. Lin and explore how socially responsible and trustworthy AI can shape safer, fairer, and more sustainable technologies for the future.
Reserve your place today: https://aices.irdta.eu/2026/registration/
Event details: https://aices.irdta.eu/2026/
