What are the risks associated with AI models?
AI models can pose risks such as bias, lack of transparency, and data privacy issues.
How can we mitigate these risks?
Mitigation strategies include regular audits, diverse training data, and implementing ethical guidelines.
Can you give examples of bias in AI?
Sure! Examples include facial recognition systems misidentifying people of color and biased hiring algorithms.
What regulations are in place to address these risks?
Regulations vary by region, but GDPR in Europe and the AI Bill of Rights in the U.S. aim to address these concerns.
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