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The Black Box Problem in Artifical Intellingence: Philosophical Reflections on Opacity and Explainable Al
29 Okt
29. Oktober 2019
Vortrag

The Black Box Problem in Artifical Intellingence: Philosophical Reflections on Opacity and Explainable Al

The widespread use of Machine Learning (ML) in domains as varied as medical diagnosis, product-recommendation, and autonomous driving gives rise to the so-called Black Box Problem in AI: the problem of explaining the behavior of 'opaque' computing systems. Although the Black Box Problem has become the subject of extensive technical, legal, and public debate, several philosophical questions remain unanswered. First, it remains unclear what the concept of 'opacity' actually means in this context, and how it relates to the concept of 'explanation'. Second, extant discussions have been unable to present a systematic answer to the question of why and for whom the Black Box Problem is actually problematic. Third, although many technical solutions to the Black Box Problem have already been proposed within the Explainable AI research program, it remains unclear against which explanatory norms the quality of these solutions should be evaluated. In this talk I will raise each one of these philosophical questions, and propose tentative answers.

Referent/Referentin

Dr. Carlos Zendik, Bereich Philosophie, Otto-von-Guericke Universität Magdeburg

Veranstalter

Institut für Philosophie

Termin

29. Oktober 2019
16:15 Uhr - 18:00 Uhr

Ort

Geb.: 1146
Raum: B313
Im Moore 21
30167 Hannover
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