Your algorithm is causing harm to a specific demographic. How can you rectify the unintended consequences?

When your algorithm unintentionally harms a demographic, action is crucial. To amend the situation:

• Audit your data: Regularly review datasets for biases and rectify any imbalances.

• Diversify your team: A variety of perspectives can help identify and prevent potential issues.

• Update continuously: Commit to ongoing improvements and transparent reporting of changes.

How might you approach correcting algorithmic bias?