Part 6/7:
The disparities in recognition accuracy raise serious ethical questions. Misclassification can lead to wrongful detentions, increased surveillance of marginalized communities, and erosion of trust in law enforcement and governmental institutions. Such biases not only undermine the technological promise of fairness but can also exacerbate existing social inequalities.
Moreover, the reliance on flawed algorithms in critical situations demands a cautious approach. While technology can augment human efforts, it should not replace human judgment entirely. Continued oversight, rigorous testing, and updating of facial recognition systems are essential to mitigate risks.