What are the main risks associated with AI in consumer data?
The main risks include data privacy breaches, biased algorithms, and misuse of personal information.
How can companies mitigate these risks?
Companies can implement strict data governance policies, conduct regular audits, and ensure transparency in AI processes.
What are some examples of biased algorithms?
Examples include facial recognition systems that misidentify individuals based on race or gender, leading to unfair treatment.
Is there any regulation on AI and consumer data?
Yes, regulations like GDPR in Europe and CCPA in California aim to protect consumer data and ensure ethical AI use.
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