Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
Although algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, we struggle to understand the real-world impact of these audits, as scholarship on the impact of algorithmic audits on increasing algorithmic fairness...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Conference on Artificial Intelligence, Ethics, and Society
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/123456 |