Who Audits the Auditors? Recommendations from a Field Scan of the Algorithmic Auditing Ecosystem (Overview)

Focus: AI Ethics/Policy
Source: Algorithmic Justice League
Readability: Intermediate
Type: Video
Open Source: No
Keywords: N/A
Learn Tags: Bias Business Ethics Fairness Machine Learning Design/Methods
Summary: Algorithmic audits are an increasingly popular mechanism for algorithmic accountability. But without a clear understanding of audit practices, AI audit claims are difficult to verify and may potentially exacerbate, rather than mitigate, bias and harm. To address this, the AJL has completed a field scan of the AI audit ecosystem and has shared their findings in a video overview of their new paper.