And the President of AAAI gives a short, nontechnical interview on the future of AI. Points to a new road map on this topic, reading now.
What do the next 20 years hold for artificial intelligence? by Caitlin Dawson, University of Southern California
Yolanda Gil, president of the Association for the Advancement of Artificial Intelligence (AAAI), discusses what it will take to move AI forward without moving safety backward.
The year is 2031. An outbreak of a highly contagious mosquito-borne virus in the U.S. has spread quickly to major cities around the world. It's all hands on deck to stop the disease from spreading–and that includes the deployment of artificial intelligence (AI) systems, which scour online news and social media for relevant data and patterns.
Working with these results, and data gathered from numerous hospitals around the world, scientists discover an interesting link to a rare neurological condition and a treatment is developed. Within days, the disease is under control. It's not hard to imagine this scenario—but whether future AI systems will be competent enough to do the job depends in large part on how we tackle AI development today.
That's according to a new 20-year Artificial Intelligence Roadmap co-authored by Yolanda Gil, a USC computer science research professor and research director at the USC Viterbi Information Sciences Institute (ISI), with computer science experts from universities across the U.S. ... "
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