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Classification Schemas for Artificial Intelligence Failures

Peter J. Scott, Roman V. Yampolskiy

DOI https://doi.org/10.21552/delphi/2019/4/8

In this paper we examine historical failures of artificial intelligence (AI) and propose a classification scheme for categorising future failures. By doing so we hope that (a) the responses to future failures can be improved through applying a systematic classification that can be used to simplify the choice of response and (b) future failures can be reduced through augmenting development lifecycles with targeted risk assessments.

Peter J. Scott, Next Wave Institute, USA. For correspondence: <peter@humancusp.com>; Roman V. Yampolskiy, University of Louisville, Kentucky, USA, <roman.yampolskiy@louisville.edu>


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