Print Email Facebook Twitter Error-correction for AI safety Title Error-correction for AI safety Author Aliman, N.M. Elands, P.J.M. Hürst, W. Kester, L.J.H.M. Thérrison, K.R. Werkhoven, P.J. Yampolskiy, R. Ziesche, S. Publication year 2020 Abstract The complex socio-technological debate underlying safetycritical and ethically relevant issues pertaining to AI development and deployment extends across heterogeneous research subfields and involves in part conflicting positions. In this context, it seems expedient to generate a minimalistic joint transdisciplinary basis disambiguating the references to specific subtypes of AI properties and risks for an errorcorrection in the transmission of ideas. In this paper, we introduce a highlevel transdisciplinary system clustering of ethical distinction between antithetical clusters of Type I and Type II systems which extends a cybersecurity-oriented AI safety taxonomy with considerations from psychology. Moreover, we review relevant Type I AI risks, reflect upon possible epistemological origins of hypothetical Type II AI from a cognitive sciences perspective and discuss the related human moral perception. Strikingly, our nuanced transdisciplinary analysis yields the figurative formulation of the so-called AI safety paradox identifying AI control and value alignment as conjugate requirements in AI safety. Against this backdrop, we craft versatile multidisciplinary recommendations with ethical dimensions tailored to Type II AI safety. Overall, we suggest proactive and importantly corrective instead of prohibitive methods as common basis for both Type I and Type II AI safety. Subject AI ethicsAI safety paradoxError-correctionError correctionPhilosophical aspectsRisk perceptionSafety engineeringSecurity of dataAi controlsCognitive scienceCommon basisCyber securitySubfieldsType IIArtificial intelligence To reference this document use: http://resolver.tudelft.nl/uuid:3143b4a7-a444-4a15-9789-0ac350a47950 TNO identifier 955376 Publisher Springer ISBN 9783030521516 ISSN 0302-9743 Source Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13th International Conference on Artificial General Intelligence, AGI 2020, 16 September 2020 through 19 September 2020, 12-22 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.