What is the impact of bias in AI systems?
Bias in AI can lead to unfair treatment of individuals, affecting decisions in hiring, law enforcement, and more.
Can you give examples of how bias manifests in AI?
Sure! For instance, facial recognition systems may misidentify people of color more often than white individuals.
What are the consequences of biased AI decisions?
Consequences can include discrimination, loss of trust in technology, and perpetuation of social inequalities.
How can we mitigate bias in AI?
Mitigating bias involves diverse data collection, regular audits, and involving ethicists in the AI development process.
Are there any regulations on AI bias?
Yes, some countries are implementing regulations to ensure fairness and accountability in AI systems.
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