What are the consequences of biased AI on society?

What are the consequences of biased AI on society?

Biased AI can lead to unfair treatment in areas like hiring, law enforcement, and healthcare, perpetuating inequality.

Can you give examples of biased AI in real-world applications?

Sure! One example is facial recognition technology, which has shown higher error rates for people of color.

How can we mitigate the impact of biased AI?

Mitigation strategies include diverse training data, regular audits, and involving ethicists in AI development.

What role do regulations play in addressing AI bias?

Regulations can enforce standards for fairness and accountability, ensuring that AI systems are transparent and equitable.

Is there a way to measure AI bias?

Yes, bias can be measured using metrics like disparate impact, accuracy across demographic groups, and fairness assessments.