{"id":139,"date":"2026-07-28T09:10:50","date_gmt":"2026-07-28T07:10:50","guid":{"rendered":"https:\/\/project.inria.fr\/avsp2026\/?page_id=139"},"modified":"2026-07-28T09:16:20","modified_gmt":"2026-07-28T07:16:20","slug":"keynote-speaker","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/avsp2026\/keynote-speaker\/","title":{"rendered":"Keynote Speaker"},"content":{"rendered":"\n
\"\"<\/a><\/figure>\n\n\n\n

Professor Michael J. Richardson<\/a><\/mark><\/strong><\/p>\n\n\n\n

Professor, School of Psychological Sciences – Performance and Expertise Research Centre
Frontier AI Research Centre – Lifespan Health and Wellbeing Research Centre
Macquarie University – Sydney – Australia<\/mark><\/p>\n\n\n\n

Title:<\/strong> Process, Not Product: Agentic AI for Multimodal Research, Learning, and Teaming<\/mark><\/p>\n\n\n\n

Abstract:<\/strong> Large language, vision, and speech models are increasingly capable of producing polished outputs \u2014 analyses, summaries, code, explanations. Yet in both science and education, the value has always lain less in the product than in the process: the perceiving, questioning, coordinating, and revising through which understanding actually forms. Agentic AI, designed well, can support that process rather than short-circuit it. Here I will outline current work on multimodal and agentic systems spanning conversational and embodied agents, automated analysis and visualisation of high-dimensional behavioural data, AI-supported research and teaching workflows, and human\u2013autonomy teaming in high-tempo command and control settings. Across these domains a common theme emerges: the most effective systems are built around human perceptual, communicative, and coordinative dynamics rather than model capability alone. I will discuss what this process-centred, human-grounded framing means in practice, where these tools genuinely accelerate discovery and learning.<\/p>\n","protected":false},"excerpt":{"rendered":"

Professor Michael J. Richardson Professor, School of Psychological Sciences – Performance and Expertise Research CentreFrontier AI Research Centre – Lifespan Health and Wellbeing Research CentreMacquarie University – Sydney – Australia Title: Process, Not Product: Agentic AI for Multimodal Research, Learning, and Teaming Abstract: Large language, vision, and speech models are\u2026<\/p>\n

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