ST Engineering's deepfake detector among tools to battle Al-generated misinformation

An early wave of deepfake detection software built in Singapore has been released to the market as the nation builds its arsenal to deal with risks of artificial intelligencegenerated misinformation ahead of the general election.

- Osmond Chia

The latest of the detection programmes comes from Singapore's ST Engineering, which launched its Einstein. Al deepfake detection tool for enterprises at its annual InnoTech Conference on Sept 3 at Marina Bay Sands.

When deployed by banks, investment platforms and media companies or other clients, the tool detects inconsistencies in an uploaded video, like odd eyebrow or lip movements, and audio frequencies that are likely to be computer-generated, said ST Engineering's head of data science and AI Tan Boon Leong.

"These are increasingly becoming tougher for people to spot with their own eyes," said Mr Tan, who worked on Einstein.AI.

Once scanned, the Al generates a report that includes a deepfake likelihood score, a transcript and summary of the video's audio feed and a list of related news content found online to allow social media users and investors to assess whether the content is reliable.