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Abstract This talk proposes a Temporal Difference Reinforcement Learning (TDRL) Theory of Emotion, arguing that emotions are manifestations of the brain's reward processing system, specifically…
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Abstract The intersection of artificial intelligence (AI) and biomedicine is transforming the way we approach healthcare, offering powerful tools for analyzing vast amounts of biomedical data and…
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Is ChatGPT embodied - and would Descartes agree?The role and importance of “embodiment” for natural and artificial intelligence have been analyzed and debated for millennia across a range…
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How much (and what) should everyone know about AI? As AI technologies are rapidly developed and integrated in various aspects of life and work, it becomes increasingly important to know how to use AI…
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The benefits of using cognitive models in Explainable AI Whereas explanations of natural intelligence in cognitive science center on cognitive models, explanations of artificial intelligence in…
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How can we ensure data quality and its logics of practice and compliance?Data quality is one of the core goals of Responsible AI. In fact, in light of the EU AI Act achieving data quality becomes an…
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Challenges in the EU online moderation regulationAbstractThis talk circles around the complexity of automated content moderation on social media platforms, and to what extent this growing web of…
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What a controlled user-study could tell about assessing empathy in two well-being chatbotsAbstractInteractive software agents, such as chatbots, are progressively being used in the area of health and…
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How can prediction models and AI improve prostate cancer diagnostics and treatments? Both prostate cancer diagnostics and treatment suffer from inefficient use of information for clinical decision…
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Leveraging SRL Theory with AI Capabilities to Support Future Learners This talk addresses the growing presence of AI in all areas of life, emphasizing its increasing role in students' learning…
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