Access denied: meaningful data access for quantitative algorithm audits
Independent algorithm audits hold the promise of bringing accountability to automated decision-making. However, third-party audits are often hindered by access restrictions, forcing auditors to rely on limited, low-quality data. To study how these limitations impact research integrity, we conduct au...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Association for Computing Machinery
2025
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