What are the risks of using homogeneous AI systems?
An example of an AI chatbot conversation about the risks of homogeneous AI systems.
What are the risks of using homogeneous AI systems?
Homogeneous AI systems can lead to a lack of diversity in decision-making, which may result in biased outcomes.
Can you give examples of bias in AI?
Sure! For instance, facial recognition systems have shown higher error rates for people of color due to biased training data.
How can we mitigate these risks?
We can mitigate these risks by ensuring diverse training data, involving multidisciplinary teams, and conducting regular audits.
What role does regulation play in this?
Regulation can help set standards for AI development, ensuring accountability and promoting ethical practices in AI deployment.
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