What are the risks of lack of AI transparency?
Lack of AI transparency can lead to mistrust, unethical decisions, and unintended consequences in AI applications.
Can you give examples of these unintended consequences?
Sure! For instance, biased algorithms can perpetuate discrimination, and opaque decision-making can harm accountability.
How can we improve AI transparency?
Improving AI transparency can involve clear documentation, explainable AI models, and open communication about AI capabilities.
What role do regulations play in this?
Regulations can enforce standards for transparency, ensuring that AI systems are accountable and ethical in their operations.
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