
On March 15, 2025, CSTS at Missouri S&T co-hosted the 66th Annual Midwest Junto for the History of Science. Attendees from around the region gathered in the Innovation Lab Forum to discuss a wide range of topics.
In the evening, the keynote and annual Stuart Pierson Lecture was “ML Ultra: The Epistemic Imaginary of Generative Artificial Counterintelligence,” by Patrick Gamez from the University of Notre Dame. Dr. Gamez, formerly of Missouri S&T, studies the philosophy of technology and addressed the challenges of GenAI from that perspective.
In this MinerAI Seminar, Dr. Cihan H. Dagli, professor of systems engineering and founder of Missouri S&T’s Systems Engineering graduate program, outlined how artificial intelligence is reshaping modern health care. He highlighted current applications of machine learning in organ transplant allocation, showing how data-driven models can improve fairness and efficiency in matching donors and recipients. Dagli also discussed the challenges of moving AI systems from research settings into clinical practice, including validation, reliability and the need for responsible decision-support tools. His talk emphasized that real-world implementation—not just model development—is the key to delivering meaningful impact in medical decision-making..jpg)
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Missouri University of Science and Technology convened experts Nov. 6–7 for Artificial Influence and the Engineering of Mass Persuasion, a two-day interdisciplinary conference exploring how artificial intelligence is reshaping persuasive communication. Co-hosted by the Center for Science, Technology and Society (CSTS), the Kummer Institute’s Center for AI and Autonomous Systems, and Miner AI, the event brought together researchers, faculty and students to examine topics such as algorithmic influence, ethical design of AI-driven messaging systems, and the evolving role of automated persuasion in society. Keynote speaker Dr. S. Scott Graham of the University of Texas delivered a talk titled “Science that Sells: How Methods Can Drive Promotional Language Use in Research on Health AI.” Sessions featured panels and papers on algorithmic nudging, cognitive sovereignty, and AI’s impact on public discourse.
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