What is a bias audit?
An example of an AI chatbot conversation about bias audits in AI systems.
What is a bias audit?
A bias audit is a systematic evaluation of an AI system to identify and mitigate biases in its algorithms and data.
Why are bias audits important?
Bias audits are crucial to ensure fairness, accountability, and transparency in AI systems, preventing discrimination.
How is a bias audit conducted?
A bias audit typically involves data analysis, algorithm testing, and stakeholder feedback to assess and address biases.
Can you give an example of bias in AI?
Sure! An example is facial recognition technology that misidentifies individuals from certain demographic groups more often than others.
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