Symbols, Networks, Explanations - A complicated menage a trois

Speaker:  Tarek R. Besold – Barcelona, Spain
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


Discussions surrounding questions of interpretability (or even: explainability) in AI and ML are gaining in popularity in academia and industry. I will briefly characterise four notions of explainable AI/ML that cut across research fields: 1) opaque systems that offer no insight whatsoever, 2) interpretable systems where users can mathematically analyse the mechanisms at work, 3) comprehensible systems that emit symbols enabling user-driven explanations of how a conclusion is reached,  and 4) explainable systems, where automated reasoning is central to output crafted explanations.

About this Lecture

Number of Slides:  40
Duration:  45 minutes
Languages Available:  English, German
Last Updated: 

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