Managing AI Bias: Executive Perspectives
- Artificial intelligence (AI) applications are taking the world by storm. Yet increasingly, these solutions are coming under fire as being “biased”. This presentation describes the actions taken by three successful digital leaders to overcome this issue and ensure that the resulting decision information is fair and explainable. Their advice is part of a much larger study we have conducted to understand the actions “digitally mature” organizations take to separate themselves from “digitally developing” companies. The goal of our studies is to help digitally developing organizations ― the great majority ― catch up.
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| Author: | Haroon Abbu, Paul Mugge, Gerhard GuderganORCiDGND |
|---|---|
| DOI: | https://doi.org/10.24251/HICSS.2022.232 |
| ISBN: | 978-0-9981331-5-7 |
| ISSN: | 2572-6862 |
| Parent Title (English): | Proceedings of the Annual Hawaii International Conference on System Sciences |
| Publisher: | IEEE Computer Society |
| Place of publication: | Piscataway (NJ) |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2025/08/14 |
| Date of first Publication: | 2022/01/04 |
| Release Date: | 2025/08/14 |
| Tag: | AI; Artificial Intelligence; Bias; Digital leadership; Digital transformation; HICSS; Practitioner research insights |
| First Page: | 1849 |
| Last Page: | 1851 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
