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September 12, 2016 05:00 am GMT
The AI field lacks diversity — even more spectacularly than most of our software industry. When an AI practitioner builds a data set on which to train his or her algorithm, it is likely that the data set will only represent one worldview: the practitioner’s. The resulting AI model demonstrates a non-diverse “intelligence” at best, and a biased or even offensive one… Read More
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/w8Sd88iQe24/
A cautionary tale about humans creating biased AI models
The AI field lacks diversity — even more spectacularly than most of our software industry. When an AI practitioner builds a data set on which to train his or her algorithm, it is likely that the data set will only represent one worldview: the practitioner’s. The resulting AI model demonstrates a non-diverse “intelligence” at best, and a biased or even offensive one… Read MoreOriginal Link: http://feedproxy.google.com/~r/Techcrunch/~3/w8Sd88iQe24/
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