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Artwork for Explaining Explainability – the podcast on Explainable Artificial Intelligence.

Explaining Explainability – the podcast on Explainable Artificial Intelligence.

TRR 318

How does the act of explanation, done by humans, work – and how can it be applied to AI systems? These questions are being investigated by the Collaborative Research Center “Constructing Explainability” at the universities of Bielefeld and Paderborn. In this podcast we bring together the different disciplines: Two researchers from different fields discuss a concept around Explainable Artificial In... more

PublishesMonthlyEpisodes8Founded5 months ago
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Artwork for Explaining Explainability – the podcast on Explainable Artificial Intelligence.

Latest Episodes

Knowing about situational context is essential for providing meaningful explanations, yet artificial intelligence often struggles because it lacks this contextual understanding. In the final episode of “Explaining Explainability,” Prof. Britta Wrede ... more

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At TRR 318, monitoring human understanding plays a key role in improving explanations. It addresses the challenge of recognizing whether an explanation truly meets the listener’s needs — a task in which Artificial Intelligence often struggles. In the... more

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In this episode, TRR 318 speakers Prof. Katharina Rohlfing from Paderborn University and Prof. Philipp Cimiano from Bielefeld University reflect on the highlights, challenges, and surprises of the first funding phase. Together with moderator Prof. Br... more

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At TRR 318, scaffolding is recognized as a crucial aspect of explaining. It involves supporting learners, whether they are children acquiring their first words or robots interacting with caregivers. In the fifth episode of the podcast "Explaining Exp... more

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As TRR 318 understands it, explanations are not delivered in a one-way process - they are co-constructed, by the explainer and the explainee. And it seems that Large Language Models (LLMs) are pretty good at doing just that - but do they really co-co... more

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How do you know when someone has understood something? And how can explainers adapt their approach to promote better understanding? In this episode, Prof. Britta Wrede discusses these questions with Prof. Hendrik Buschmeier, a computational linguist ... more

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What is the difference between explainability and explaining? How does the act of explanation, done by humans, work – and how can it be applied to AI systems? Why is it even of such great importance for XAI? Prof. Britta Wrede is discussing these and... more

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In this first episode we enter the topic of explainability from the perspectives of computer science and linguistics. The guests are the speakers of the Collaborative Research Center, Prof. Katharina Rohlfing, psycholinguist at Paderborn University a... more

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