How accurate is AI in tracking user behavior?
AI can track user behavior with high accuracy, often exceeding 90%, depending on the data quality and algorithms used.
What factors affect the accuracy of tracking?
Factors include data quality, the algorithms used, user privacy settings, and the context in which tracking occurs.
Can AI tracking be biased?
Yes, AI tracking can be biased if the training data is not representative or if the algorithms have inherent biases.
How can we improve tracking accuracy?
Improving tracking accuracy can involve using diverse datasets, refining algorithms, and ensuring user consent and transparency.
What are the privacy implications of AI tracking?
AI tracking raises privacy concerns, as it can lead to unauthorized data collection and potential misuse of personal information.
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