What are the main limitations of AI surveillance systems?
AI surveillance systems can struggle with accuracy, privacy concerns, and bias in data interpretation.
Can you explain how bias affects AI surveillance?
Bias can lead to misidentification or unfair targeting of certain groups, impacting the effectiveness and fairness of surveillance.
What privacy issues arise from using AI in surveillance?
Privacy issues include unauthorized data collection, potential misuse of information, and lack of transparency in how data is used.
Are there any legal regulations governing AI surveillance?
Yes, many countries have laws that regulate data protection and privacy, but these vary widely and may not cover all AI applications.
How can we mitigate the limitations of AI surveillance systems?
Mitigating limitations involves improving data quality, ensuring transparency, and implementing strict ethical guidelines.
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