Author: Shannon Liao
Microsoft says its facial recognition tools are getting better at identifying people with darker skin tones than before, according to a company blog post today. The error rates have been reduced by as much as 20 times for men and women with darker skin and by nine times for all women.
The company says it’s been training its AI tools with larger and more diverse datasets, which has led to the progress. “If we are training machine learning systems to mimic decisions made in a biased society, using data generated by that society, then those systems will necessarily reproduce its biases,” said Hanna Wallach, a Microsoft senior researcher, in the blog post.
Facial recognition systems can be biased by limited datasets and other factors like...
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Continue reading...
Microsoft says its facial recognition tools are getting better at identifying people with darker skin tones than before, according to a company blog post today. The error rates have been reduced by as much as 20 times for men and women with darker skin and by nine times for all women.
The company says it’s been training its AI tools with larger and more diverse datasets, which has led to the progress. “If we are training machine learning systems to mimic decisions made in a biased society, using data generated by that society, then those systems will necessarily reproduce its biases,” said Hanna Wallach, a Microsoft senior researcher, in the blog post.
Facial recognition systems can be biased by limited datasets and other factors like...
Continue reading…
Continue reading...