Fake content is getting harder to suss out. This Canadian Nobel Prize winner has an idea to help [Video]

Artificial intelligence pioneer Geoffrey Hinton says it’s getting more difficult to tell videos, voices and images generated with the technology from material that’s real — but he has an idea to aid in the battle.

The increased struggle has contributed to a shift in how the British-Canadian computer scientist and recent Nobel Prize recipient thinks the world could address fake content.

“For a while, I thought we may be able to label things as generated by AI,” Hinton said Monday at the inaugural Hinton Lectures.

“I think it’s more plausible now to be able to recognize that things are real by taking a code in them and going to some websites and seeing the same things on that website.”

Hinton spoke at the first of the two-night Hinton Lectures event at the Global Risk Institute, taking place this week at the John W. H. Bassett Theatre in Toronto.