Classification Schemas for Artificial Intelligence Failures journal article Peter J. Scott, Roman V. Yampolskiy Delphi - Interdisciplinary Review of Emerging Technologies, Volume 2 (2019), Issue 4, Page 186 - 199 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.
Delphi 1/19 – Ethical Machine Learning, Human vs Artificial Intelligence and Game World Dynamics 2019-04-09