Synthetic faces could solve algorithmic bias and ethical data quandary: IDVerse

For years, many of the AI systems used for facial recognition and identity verification have had a race and gender bias problem. Systems have shown higher misidentification rates for people with darker skin, and have sometimes contributed to wrongful arrests. The main reason behind this is the data AI models have been trained on, which disproportionately includes white and male faces.

To counter this, some companies are turning to enriching their data sets with fake faces. Generative AI can …

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