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 #2: Evaluations with independent test instances

4 of 7

4 of 7

Issue #2: Evaluations with independent test instances

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Challenges in Fostering Trust and Distrust in AI Systems

Automatically move to the next video in the Classroom when playback concludes

  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.