Why AI-based Decision Support Systems Don’t Work (and What We Can Do About It)

In this webinar, you’ll learn about:

• Why AI-based decision support often fails to improve decision quality in practice
• The real-world conditions that make “helpful” decision support surprisingly hard
• A “machine-in-the-loop” model of decision support called Evaluative AI, influenced by Naturalistic Decision Making
• Preliminary findings from recent projects that test this conceptualization
• High-level, practical considerations for achieving real-world impact at the intersection of NDM and AI
  
  

About Tim Miller

Tim Miller is the TIET-UQ Chair of Data Science and Professor of Artificial Intelligence in the School of Electrical Engineering and Computer Science at The University of Queensland. His mission is to improve the capabilities of expert decision makers by using artificial intelligence to do the hard things. His research spans machine learning, reinforcement learning, AI planning, interaction design, and cognitive science, including work on explainable AI, human–AI mixed-initiative planning, and human-centered decision support.