Regulations To Trust AI Are Here -- And It's a Good Thing

Ensuring fair automated decisions is another related area of upcoming regulations. While there is no consensus in the research community on the right set of fairness metrics, some approaches like equality of opportunity are already required by law in use cases like hiring. Integrating AI explainability in the ML lifecycle can also help provide insights for fair and unbiased automated decisions. Assessing and monitoring these biases, along with data quality and model interpretability approaches, provides a good playbook towards developing fair and ethical AI.