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This article investigates the inherent biases in facial recognition technology, focusing on how data, algorithmic, and societal biases contribute to inaccuracies, particularly against people of colour. It examines historical advancements, current uses, and the ethical dilemmas posed by these technologies, especially in law enforcement. The piece also explores high-profile cases of misidentification and discusses potential solutions, including legal reforms, technological improvements, and the importance of creating unbiased AI systems for a fairer future.

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