What are the main risks associated with using AI in surveillance?
The main risks include privacy violations, misuse of data, bias in algorithms, and potential for mass surveillance.
How can bias in AI algorithms affect surveillance outcomes?
Bias can lead to unfair targeting of specific groups, resulting in discrimination and erosion of trust in law enforcement.
What measures can be taken to mitigate these risks?
Implementing strict regulations, ensuring transparency, and conducting regular audits can help mitigate these risks.
Are there any examples of AI surveillance gone wrong?
Yes, there have been cases where facial recognition technology misidentified individuals, leading to wrongful arrests.
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