What are the main challenges in AI and data security?
Some key challenges include data privacy, algorithmic bias, and securing AI systems against attacks.
Can you explain how algorithmic bias affects data security?
Algorithmic bias can lead to unfair treatment of certain groups, which can compromise data integrity and security.
What measures can be taken to enhance data security in AI?
Implementing strong encryption, regular audits, and using secure frameworks can significantly enhance data security.
Are there any regulations addressing these challenges?
Yes, regulations like GDPR and CCPA aim to protect data privacy and security in AI applications.
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