What are the impacts of bias in AI transportation systems?
Bias in AI transportation systems can lead to unfair treatment of certain groups, affecting access and safety.
Can you give examples of how bias manifests in these systems?
Sure! For instance, facial recognition systems may misidentify people of color more often, leading to wrongful detentions.
What can be done to mitigate these biases?
To mitigate biases, we can use diverse training data, conduct regular audits, and involve affected communities in the design process.
Are there any regulations addressing this issue?
Yes, some regions are implementing regulations that require transparency and accountability in AI systems, including transportation.
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