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This is a step-by-step how to use the ALTAI tool for self-assessment from AI4Belgium (https://altai.ai4belgium.be/). This guide is specific to be used in connection with a Seminar in the course…
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In this lecture, the topic of artificial intelligence as a field is covered.
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In this lecture, the topic of intelligent software agents is covered
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In this lecture the topics of ontologies and knowledge graphs are covered.
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In this lecture, the topic of automated reasoning and planning are covered.
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In this seminar the topics of automated reasoning and reasoning under uncertainty are covered. This is the initial lecture for the presentation of the seminars of the same topic
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In this lecture, the formal foundations of Supervised and unsupervised machine learning are covered
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In this lecture, the foundational topics of Neural Networks are covered.
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AbstractIn an era where generative AI is reshaping our digital landscape,
this presentation explores how artificial intelligence is
revolutionizing dark patterns—subtle design choices which…
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Abstract AI systems designed for human
interaction often include anthropomorphic elements, intended to enhance
usability and acceptability by tapping into, or exploiting, human social
…
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AbstractConsider democracy, money, and family. Diverse as they are, they are
all institutions – human-made cultural artefacts that are fundamental to
a human living in contemporary society.…
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Abstract A path to Responsible AI leadership may begin with curiosity and the drive to explore and challenge assumptions. What started as a personal inquiry into AI bias has evolved into policy…
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This talk explores a more sustainable approach to AI: embedded intelligence, where AI runs directly on low-cost, local devices rather than relying on energy-intensive cloud infrastructure. By…
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Abstract This talk explores the transformative role of AI in education in providing opportunities for both teachers and students with personalized learning, accessibility, and efficiency. During the…
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Abstract This talk is based on a recent article that introduces the concept of stochastic remembering to better understand the distributed mnemonic agency involved the use of generative AI tools like…
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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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