Empowering healthcare using context-aware interaction
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Talk and panel on context-aware interaction techniques applied to healthcare.
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Talk and panel on context-aware interaction techniques applied to healthcare.
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Panel discussion on aging and AI-supported care.
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Seminar on Society-Centred AI: the most consequential design decisions are not algorithmic — they are about who is served, what values are embedded, and how accountability is distributed.
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Seminar on Society-Centred AI: AI’s value lies not in what systems can do on their own, but in what they make possible for people together.
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Guest lecture on Society-Centred AI: a design disposition that evaluates AI not by technical benchmarks but by its ability to serve human needs in the contexts where those needs are most urgent.
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Seminar on why AI in health fails when it is designed as a transaction between individuals rather than as a practice embedded in relationships, roles, and irreducible uncertainty — and what that means for consent and governance frameworks that centre the individual.
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Moderated panel on what changes when an AI system stops being a tool people use and becomes something they relate to — trust calibration versus trust maximisation, and dependence as a design failure mode rather than a product goal.
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Talk and panel with public-sector product teams on designing AI systems for high-stakes human contexts, and on human-in-the-loop oversight that checks rather than merely legitimises AI decisions.
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Invited talk to a behavioural and implementation science audience on what human-AI co-intelligence means for behavioural design, drawing on work spanning advance care planning, parent–child interaction, and peer support.
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Invited talk on multimodal AI models aligned with clinical experts on parent–child interaction, and what that alignment work reveals about where model authority can and cannot be trusted in expert-facing settings.