AI Ethics and Bias: What We Watch For
AI can unintentionally treat people unfairly, usually because it learned from biased data. Taking ethics seriously protects your customers and your reputation.
This article describes the issues we watch for and how we address them.
Where Bias Creeps In
- Training data that under-represents some groups.
- Historical decisions that were themselves unfair.
- Proxies, such as postcode, standing in for protected traits.
How We Reduce It
We check that data is representative, test outcomes across different groups, document how decisions are made, and keep a person accountable. Fairness is checked throughout, not bolted on at the end.
Your Responsibilities
Fairness is not only a technical matter; how you deploy and explain AI to customers matters just as much.
- Be clear about how AI is used with customers.
- Offer a route to a human and to appeal.
- Review for fairness as data and society change.
Frequently Asked Questions
Can AI ever be completely unbiased?
No system is perfectly neutral, but bias can be measured, reduced and monitored so outcomes stay fair and defensible.
If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.