Children running and smiling

Powering curiosity to
reduce bias

Without vigilance, bias, stereotypes, and discrimination may infuse machine learning. Join this panel discussion to explore the power of curiosity to #breakthebias

Discussion triggers

  1. What are the biggest risks we face from bias in the AI era?
  2. How can we mitigate bias from human teams making their way into AI?
  3. To what extent can diversity in teams reduce this risk?
  4. How are curiosity and diversity connected to each other?

Further reading

Breaking the cycle of bias in decision making

Curiosity at Work

Better together: How curiosity and diversity amplify each other

Men as allies for women in IT: a conversation with Christine Bongard

ATHENA works on multiple levels to drive balance in tech roles