What steps can platforms take to reduce bias?

What steps can platforms take to reduce bias in their algorithms?

Platforms can implement diverse training data, conduct regular audits, and involve diverse teams in development.

How can diverse teams help in reducing bias?

Diverse teams bring different perspectives, which can help identify and mitigate biases that a homogenous group might overlook.

Are there specific tools or frameworks for auditing bias?

Yes, tools like Fairness Indicators and AI Fairness 360 can help assess and mitigate bias in AI models.

What role does user feedback play in this process?

User feedback is crucial as it provides real-world insights that can highlight biases and areas for improvement.