[Amandeep, 15.04.2019]
1. Auditing Black-box Models for Indirect Influence: https://arxiv.org/pdf/1602.07043.pdf
2. Certifying & Removing Disparate Impact: https://arxiv.org/pdf/1412.3756.pdf
3. Auditing Black Box Models: https://www.youtube.com/watch?v=rtDkl_0vLks
Slides : https://algofairness.github.io/fatconference-2018-auditing-tutorial/sli…
4. Content from Fairness Accountability & Transparency (FAT) 2019 : https://www.youtube.com/playlist?list=PLXA0IWa3BpHk7fE8IH6wXNEfAZyr3A5Yb
5. A comparative study of fairness-enhancing interventions in machine learning: https://arxiv.org/pdf/1802.04422
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- Tags
- Artificial Intelligence modelvalidation modeltracing AIAudit algorithmfairness algorithmtransparency algorithmaccountability
Comments
Thank you for sharing this. Definitely a must-read in order to consider "validation" of AI models, which in my opinion will be the only way forward to get regulators to accept the use of AI technologies.
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