Who is responsible for AI bias?
An example of an AI chatbot conversation about who is accountable for bias in AI systems.
Who is responsible for AI bias?
AI bias can stem from various sources, including the data used to train models, the developers, and the organizations deploying them.
Can you explain how data contributes to AI bias?
Certainly! If the training data is unbalanced or reflects societal biases, the AI can learn and perpetuate those biases.
What can be done to mitigate AI bias?
To mitigate AI bias, we can use diverse datasets, implement fairness checks, and involve interdisciplinary teams in development.
Are there any regulations regarding AI bias?
Yes, some regions are starting to implement regulations to ensure fairness and accountability in AI systems.
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