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Explainable-by-design Deep Learning

Research output: Contribution to conference - Without ISBN/ISSN Speech

Publication date03/2021
<mark>Original language</mark>English
EventIEEE Pervasive Computing -
Duration: 1/01/1900 → …


ConferenceIEEE Pervasive Computing
Period1/01/00 → …


MACHINE and AI justifiably attract the attention and interest not only of the wider scientific community and industry, but also society and policy makers. However,
even the most powerful (in terms of accuracy) algorithms such as deep learning (DL) can give a wrong output, which may be fatal. Due to the opaque and cumbersome model structure used by DL, some authors started to talk about a dystopian “black box” society. Despite the success in this area, the way computers learn is still principally different from the way people acquire new knowledge, recognise
objects and make decisions.