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Resolving AI Trust and Bias Issues on 2019 To-Do List


TORONTO, Dec. 17, 2018 – 

A lot has been accomplished in the last year to improve comprehension, accuracy and scalability of artificial intelligence, but 2019 will see efforts focused on eliminating bias and making decision making more transparent.

Jeff Welser, vice president at IBM Research, says the organization has hit several AI milestones in the past year and is predicting three key areas of focus for 2019. Bringing cognitive solutions powered by AI to a platform businesses can easily adopt is a strategic business imperative for the company, he said, while also increasing understanding of AI and addressing issues such as bias and trust.

When it comes to advancing AI, Welser said there's been progress in several areas, including comprehension of speech and analyzing images. IBM's Project Debater work has been able to extend current AI speech comprehension capabilities beyond simple question answering tasks, enabling machines to better understand when people are making arguments, he said, and taking it beyond just "search on steroids." One scenario involved asking a question that had no definitive answer – whether government should increase funding for telemedicine.

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