Requirements for Trustworthy Artificial Intelligence – A Review

dc.contributor.authorKaur, Davinder
dc.contributor.authorUslu, Suleyman
dc.contributor.authorDurresi, Arjan
dc.contributor.departmentComputer and Information Science, School of Scienceen_US
dc.date.accessioned2022-03-04T21:49:56Z
dc.date.available2022-03-04T21:49:56Z
dc.date.issued2021
dc.description.abstractThe field of algorithmic decision-making, particularly Artificial Intelligence (AI), has been drastically changing. With the availability of a massive amount of data and an increase in the processing power, AI systems have been used in a vast number of high-stake applications. So, it becomes vital to make these systems reliable and trustworthy. Different approaches have been proposed to make theses systems trustworthy. In this paper, we have reviewed these approaches and summarized them based on the principles proposed by the European Union for trustworthy AI. This review provides an overview of different principles that are important to make AI trustworthy.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationKaur, D., Uslu, S., & Durresi, A. (2021). Requirements for Trustworthy Artificial Intelligence – A Review. In L. Barolli, K. F. Li, T. Enokido, & M. Takizawa (Eds.), Advances in Networked-Based Information Systems (pp. 105–115). Springer International Publishing. https://doi.org/10.1007/978-3-030-57811-4_11en_US
dc.identifier.urihttps://hdl.handle.net/1805/28055
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/978-3-030-57811-4_11en_US
dc.relation.journalAdvances in Networked-Based Information Systemsen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectartificial intelligenceen_US
dc.subjecttrusten_US
dc.subjectalgorithmic decision-makingen_US
dc.titleRequirements for Trustworthy Artificial Intelligence – A Reviewen_US
dc.typeArticleen_US
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