Challenges in Fostering Trust and Distrust in AI Systems

Challenges in Fostering Trust and Distrust in AI Systems

UofU Data Science via YouTube Direct link

Issue #4: Evaluations of robustness are not robust

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6 of 7

Issue #4: Evaluations of robustness are not robust

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Challenges in Fostering Trust and Distrust in AI Systems

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  1. 1 Human trust in AI recap
  2. 2 What factors enable people to trust trustworthy models?
  3. 3 Challenges of constructing valid benchmarks: Data shortcuts
  4. 4 Issue #2: Evaluations with independent test instances
  5. 5 Issue #3: Not ensuring we are not breaking the basics
  6. 6 Issue #4: Evaluations of robustness are not robust
  7. 7 Challenges of ensuring high-quality pretraining data

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