Latest XPrize challenges teams to deliver a TED Talk using artificial intelligence
The XPrize Foundation wants to find out if an artificial intelligence can compose and deliver a good TED Talk
TED Talks are known for being delivered in a captivating, compelling fashion – that's why the events' organizers are fairly picky when it comes to selecting speakers. With that in mind, XPrize has teamed up with TED for its latest competition, in which an artificial intelligence (AI) must deliver a TED Talk with no human assistance.
For those who don't know, TED is a non-profit group that regularly presents conferences featuring lectures on "ideas worth spreading." The topics can include just about anything that will enlighten the listeners. The XPrize Foundation, on the other hand, stages competitions in which teams compete to achieve a goal that drives innovation.
The just-announced AI XPrize is described as "a modern-day Turing test to be awarded to the first AI to walk or roll out on stage and present a TED Talk so compelling that it commands a standing ovation from you, the audience."
Although the rules and format of the contest have yet to be finalized, at this point the competing AIs could be contained within a robot, they could simply be disembodied voices, or they could take some other form. A suggested scenario involves them being presented with a topic for a 3-minute talk, 30 minutes before having to take the stage. They would then have to autonomously compose a lecture, deliver it to a live audience in an engaging fashion, and then answer two questions on the topic, as posed by the host of the conference.
The winner would be decided based on the audience's applause.
As mentioned, though, that's just a suggestion. XPrize is open to hearing other peoples' ideas, which can be submitted via the link below.
About the Author
An experienced freelance writer, videographer and television producer, Ben's interest in all forms of innovation is particularly fanatical when it comes to human-powered transportation, film-making gear, environmentally-friendly technologies and anything that's designed to go underwater. He lives in Edmonton, Alberta, where he spends a lot of time going over the handlebars of his mountain bike, hanging out in off-leash parks, and wishing the Pacific Ocean wasn't so far away.
All articles by Ben Coxworth
The problem with using turing test as a bulls eye is humans are imperfect by nature. If I ask it to solve a complex math problem, does it answer quickly or stumble to seem more human?
I think there is more application in answering quickly. I think the most useful potential of AI is quickly making sense of a lot of data and presenting it in human understandable ways.
In the corporate world there is a lot of effort put in place to measure and analyze multiple types of data and it's often a very manual process.
"The XPrize Foundation wants to find out if an ..."
is this what TED talks is all about?
Thought we were dealing with humans knowledge and/or perception of things, not machine bla bla bla fed by humans.
"... so compelling that it commands a standing ovation ..." to the machine or the work done by the guys in the backstage?
Think TED Talk as every thing is going down the dain, sorry.
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