AI Bias Mitigation

Kai-Fu Lee discusses the importance of balancing training data to prevent inherent bias in AI. He suggests that companies with global ambitions should gather data globally and that AI engineers have a responsibility to provide fair AI. Tools can be developed to automatically scan AI training for data inadequacy problems and suggest fixes.