Facebook Artificial Intelligence model achieves 65% accuracy

SAN FRANCISCO: Alarmed at the growing forged or deepfake videos on its platform, Facebook organised a Deepfake Detection Challenge and the results were not very encouraging, as the highest-performing model achieved an average precision of 65.18 per cent against real world examples.

This, however, establishes a new shared baseline as the artificial intelligence (AI) community continues to work on this difficult and important task, said Facebook.

The Deepfake Detection Challenge drew more than 2,000 participants, who trained and tested more than 35,000 models using a unique new data set created for the challenge.

Tested against a black box data set with challenging real world examples that were not shared with entrants, the top model achieved an average precision of 65.18 per cent.

Facebook partnered with other industry leaders and academic experts last year to create the Deepfake Detection Challenge.

"By creating and sharing a unique new data set of more than 100,000 videos, the DFDC has enabled experts from around the world to come together, benchmark their deepfake detection models, try new approaches, and learn from each others' work," the social network said in a statement.

Facebook in January this year has announced tough policies against the spread of manipulated media on its platform.

The company said it will remove misleading manipulated media if it has been edited or synthesized beyond adjustments for clarity or quality. (IANS)  

Also watch: Protests in City Demanding Justice for Rituparna