What are the main challenges in AI risk management?
The main challenges include data privacy, algorithmic bias, and lack of transparency in AI systems.
How can organizations mitigate these risks?
Organizations can implement robust data governance, conduct regular audits, and promote diversity in AI development teams.
What role does regulation play in AI risk management?
Regulation helps establish standards and accountability, ensuring that AI systems are safe and ethical.
Can you give examples of AI risks that have occurred?
Sure! Examples include biased hiring algorithms and facial recognition systems misidentifying individuals.
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