Seeking Ethical use of AI Algorithms: Challenges and Mitigations
dc.contributor.author | Tarafdar, Monideepa | |
dc.contributor.author | Teodorescu, Mike | |
dc.contributor.author | Tanriverdi, Hüseyin | |
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.contributor.author | Morse, Lily | |
dc.date.accessioned | 2020-09-27T11:19:13Z | |
dc.date.available | 2020-09-27T11:19:13Z | |
dc.date.issued | 2020-09-27 | |
dc.identifier.citation | Tarafdar, M., Teodorescu, M., Tanriverdi, H., Robert, L. P., and Morse, L. 2020. Seeking Ethical use of Algorithms: Challenges and Mitigations, Proceedings of the 41th International Conference on Information Systems, December 13-16, India. | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/162590 | |
dc.description.abstract | This panel will discuss the problems of bias and fairness in organizational use of AI algorithms. The panel will first put forth key issues regarding biases that arise when AI algorithms are applied to organizational processes. We will then propose a sociotechnical approach to bias mitigation. We will further share proposals for companies and policymakers on improving AI algorithmic fairness within organizations and bias mitigation. The panel will bring together scholars examining social and technical aspects of bias and its mitigation, from the perspective of information systems, ethics, machine learning, robotics, and human capital. The panel will end with an open discussion of where the field of information systems can step in to guide fairness and ethical use in AI algorithms in the coming years. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ICIS 2020 | en_US |
dc.subject | machine learning | en_US |
dc.subject | AI fairness | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Artificial Intelligence Fairness | en_US |
dc.subject | Artificial Intelligence Bias | en_US |
dc.subject | Artificial Intelligence Ethics | en_US |
dc.subject | AI Biases | en_US |
dc.subject | algorithms | en_US |
dc.subject | algorithmic fairness | en_US |
dc.subject | Ethical Artificial Intelligence | en_US |
dc.subject | Transparent Artificial Intelligence | en_US |
dc.subject | Explainable Artificial Intelligence | en_US |
dc.subject | Artificial Intelligence Accountability | en_US |
dc.subject | Artificial Intelligence Policy | en_US |
dc.subject | Artificial Intelligence and Human Interactions | en_US |
dc.subject | Human Interactions with Artificial Intelligence | en_US |
dc.title | Seeking Ethical use of AI Algorithms: Challenges and Mitigations | en_US |
dc.type | Conference Paper | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Robot Institute | en_US |
dc.contributor.affiliationother | Lancaster University | en_US |
dc.contributor.affiliationother | Boston College | en_US |
dc.contributor.affiliationother | University of Texas at Austin | en_US |
dc.contributor.affiliationother | West Virginia University | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/162590/1/Tarafdar et al. 2020.pdf | en_US |
dc.identifier.source | Proceedings of the 41th International Conference on Information Systems | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Tarafdar et al. 2020.pdf : Paper | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.owningcollname | Information, School of (SI) |
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