Tools and References for Tracing Learning Models

 

[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

 

 

 

 

Značky
Artificial Intelligence modelvalidation modeltracing AIAudit algorithmfairness algorithmtransparency algorithmaccountability

Comments

User
Predložil David ASTURIOL… dňa Pi, 31/05/2019 - 16:08

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.