Algorithmic bias – does it compute?
| dc.contributor.author | Goble, Dalton | |
| dc.date.accessioned | 2021-07-23T12:48:06Z | |
| dc.date.available | 2021-07-23T12:48:06Z | |
| dc.date.created | 2020 | |
| dc.description | 2020 Celebration of Student Research and Creativity presentation | en_US |
| dc.description.abstract | Furtherance in Artificial Intelligence (AI) capabilities has created unforeseen issues with unethical development and organizational structural transparency. With a more concise understanding of technological due process, the researchers are more cognizant of human interaction with AI policy, particularly relating to issues of bias and concerning how intersections of identity can increase the chance of failure in consequential decision-making in AI related software-design and distribution process. This research explores a conceptual model of variable interaction between developers/coder, management and audience in the “AI-sphere” and provides recommendations for organizational actors navigating AI complexities of transparency, accountability, and rulemaking and procedural adjudication fairness. | en_US |
| dc.description.uri | https://youtu.be/hke2uOaUdXI | en_US |
| dc.identifier.uri | http://hdl.handle.net/11216/3788 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Northern Kentucky University | en_US |
| dc.relation.ispartofseries | Celebration of Student Research and Creativity;2020 | |
| dc.subject | Artificial intelligence | en_US |
| dc.title | Algorithmic bias – does it compute? | en_US |
| dc.type | Presentation | en_US |