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07-10-2017, 10:49 PM
Google wants to build 'people-centric' AI systems
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How do we prevent pre-existing biases from bleeding into the artificial intelligence systems we're increasingly relying on for day-to-day tasks? By paying closer attention to the data and machine learning used to build those AIs.
Google's new initiative, PAIR, or People + AI Research, unveiled on Monday, seeks to put human considerations like this at the front of AI development.
SEE ALSO: How the scary potential of AI brought tech competitors together (http://mashable.com/2016/09/30/watching-ai/)
In a blog post on PAIR, senior staff research scientists from the Google Brain team, Fernanda Viégas and Martin Wattenberg, write, "By building AI systems with users in mind from the ground up, we open up entire new areas of design and interaction." Read more... (http://mashable.com/2017/07/10/google-unveils-pair-ai-initiative/?utm_campaign=Mash-Prod-RSS-Feedburner-All-Partial&utm_cid=Mash-Prod-RSS-Feedburner-All-Partial)
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How do we prevent pre-existing biases from bleeding into the artificial intelligence systems we're increasingly relying on for day-to-day tasks? By paying closer attention to the data and machine learning used to build those AIs.
Google's new initiative, PAIR, or People + AI Research, unveiled on Monday, seeks to put human considerations like this at the front of AI development.
SEE ALSO: How the scary potential of AI brought tech competitors together (http://mashable.com/2016/09/30/watching-ai/)
In a blog post on PAIR, senior staff research scientists from the Google Brain team, Fernanda Viégas and Martin Wattenberg, write, "By building AI systems with users in mind from the ground up, we open up entire new areas of design and interaction." Read more... (http://mashable.com/2017/07/10/google-unveils-pair-ai-initiative/?utm_campaign=Mash-Prod-RSS-Feedburner-All-Partial&utm_cid=Mash-Prod-RSS-Feedburner-All-Partial)
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