Eliminating Bias to Build AI for All
Monday 8 June 2026
AI Arena
Visionaries
- Instances of biased responses have undermined trust in AI. What lessons have been learned on model development, data training, and team structures to ensure we build better moving forward?
- What measures are being taken in the early design process to eliminate the potential for model bias in all ensuing stages of AI development?
- Exploring why diversity in development teams, not just governance councils with oversight, is a must to ensure products are being created for everyone from the outset.