At first, the Go champion thought the move was rather odd. Then he saw it was wonderful.
But building voice technology on a 26-year-old corpus inevitably lays a foundation for misunderstanding. English is professional currency in the linguistic marketplace, but numerous speakers learn it as a second, third, or fourth language. Gavaldà likens the process to drug trials. “It may have been tried in a hundred patients, [but] for a narrow demographic,” he tells me. “You try to extrapolate that to the general population, the dosage may be incorrect.”
Seems like a huge problem of bias if voice systems are trained on such an old and narrow set of data.
Source: DARPA Perspective on AI
This is the Executive Summary of VoiceLabs’ 36-page 2017 Voice Report, highlighting key analysis and predictions.
Source: 2017 Voice Report | VoiceLabs
But what if bots conversed with us in a new way that is uniquely bot-like? At the moment, we anthropomorphize bots because we’ve never really had any non-human entities occupying conversational space with us. Could we create a new set of expectations and aesthetics that might ameliorate these social challenges and create new conversational possibilities? How might a machine express itself in ways that set up new kinds of expectations for our interactions with it?
Can machines help us to become more creative? We hope so, by helping us to manipulate style, thanks to the next generation of authoring tools: Flow Machines!
Flow machines is a research project funded by the European Research Council (ERC) and coordinated by François Pachet. More info here: www.flow-machines.com
As technology rapidly progresses, some proponents of artificial intelligence believe that it will help solve complex social challenges and offer immortality via virtual humans. But AI’s critics are sounding the alarm, going so far as to call its development an “existential threat” to mankind.
Interesting debate format.