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The REPORT-IT project investigates how humans generate explainable knowledge during learning experiences. It explores the relationship between metacognition, emotions, and the ability to articulate decision-making processes, while also examining deep neural networks to see if they can replicate these human-like pattern…
Current artificial intelligence (AI) surpasses human-level performance in a vast range of tasks.
However, its decisional processes are opaque, referred to as the AI interpretability problem.
Humans, on the other hand, can verbally describe their decisional processes and strategies.
The accuracy of these reports varies, especially in complex environments.
Yet, people often come up with reasonably accurate explanations for their decisions, thereby allowing knowledge transfer in society.
However, t…
UNIVERSITEIT VAN AMSTERDAM
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