What are the biases associated with biometric technology?

What are the biases associated with biometric technology?

Biometric technology can exhibit biases based on race, gender, and socioeconomic status, leading to unfair outcomes.

Can you give examples of how these biases manifest in real-world applications?

Sure! For instance, facial recognition systems have been shown to misidentify people of color more frequently than white individuals.

What steps are being taken to mitigate these biases?

Many organizations are working on improving data diversity, implementing fairness audits, and developing bias detection algorithms.

Is there any regulation on the use of biometric technology?

Yes, some countries have regulations in place, but they vary widely and often lag behind the technology's development.