What are the implications of AI bias in the energy sector?
AI bias in the energy sector can lead to unequal resource distribution, affecting marginalized communities.
Can you give examples of how this bias manifests?
Sure! Bias can occur in energy pricing models, predictive maintenance, and even in renewable energy project approvals.
What can be done to mitigate this bias?
To mitigate bias, we can implement diverse data sets, conduct regular audits, and involve community stakeholders in decision-making.
Are there any regulations addressing AI bias in energy?
Yes, some regulations are emerging, focusing on transparency and accountability in AI systems used in energy.
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