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Diversity & Technology: Training Your AI to Be More Inclusive
AI is maturing and creating countless new opportunities to help people live better lives at home and work. As the technology evolves, it is essential that it does so inclusively, equally recognizing and serving all individuals who make up the world's population.
Trends including global tech recruitment, virtual help desks, lifestyle migration and increasing job mobility mean that we're all accustomed to hearing a rich mix of accents and linguistic usage in our daily lives.
But until recently, AI-powered speech recognition did not acknowledge this diversity as AI engines were trained in standard U.S. English. Because of that bias, people from different backgrounds were left out, delivering the perception that AI was biased. Of course, don't feel hard done-by if your 10-year-old car's voice recognition system doesn't understand your charmingly non-standard accent. This was solely due to the limitations of the early technology including limited data sets and the cost-prohibitiveness of the computational technology.
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