| dc.contributor.advisor | Chakravorty Antorweep | |
| dc.contributor.author | Chakravorty Antorweep | |
| dc.date.accessioned | 2021-09-07T16:29:45Z | |
| dc.date.available | 2021-09-07T16:29:45Z | |
| dc.date.issued | 2021 | |
| dc.identifier | no.uis:inspera:78872743:36677270 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2774393 | |
| dc.description.abstract | As the complexity and capabilities of AI technologies continue to increase, they will continue to
pose a risk for their users. In this thesis, different techniques have been reviewed to see how the
current research proposes to introduce concepts such as fairness and ethics in AI. These techniques
introduces fairness through interpretability of a complex model and an audit tool that allows for
verifying bias and fairness metrics. | |
| dc.description.abstract | As the complexity and capabilities of AI technologies continue to increase, they will continue to
pose a risk for their users. In this thesis, different techniques have been reviewed to see how the
current research proposes to introduce concepts such as fairness and ethics in AI. These techniques
introduces fairness through interpretability of a complex model and an audit tool that allows for
verifying bias and fairness metrics. | |
| dc.language | eng | |
| dc.publisher | uis | |
| dc.title | Fairness and Ethics in AI | |
| dc.type | Bachelor thesis | |
