One of the primary challenges related to data protection in the context of AI is ensuring the privacy and security of personal data. As AI systems often rely on large datasets, including sensitive personal information, the risk of data breaches and unauthorized access increases. Additionally, the use of techniques such as machine learning can lead to unintentional data exposure, where algorithms may inadvertently reveal private information or generate outputs that can infer sensitive details about individuals. Balancing the need for data to train AI models with the necessity to protect individuals' privacy and comply with regulations like GDPR poses a significant challenge in the field of data protection.
What is one of the primary challenges related to data protection in the context of AI?
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