As generative AI grows, deepfake detection is still lagging behind

Recent photos of Donald Trump getting arrested to Pope Francis wearing a Balenciaga coat made people double check on how real it all seemed. This was highlighted by researchers at Deakin University’s School of Information Technology, outside of Melbourne whose algorithm to detect the altered images of celebrities in deepfakes performed the best last year, according to Stanford University’s Artificial Intelligence Index 2023. According to research firm HSRC, the global market for deepfake detection was valued at $3.86 billion in 2020 and is expected to expand at a compound annual growth rate of 42% through 2026. You have probably already seen them; videos of celebrities doing or saying things they never actually did,” Ilke Demir, a senior staff research scientist in Intel Labs said in the press statement. Startups such as the Netherlands-based Sensity AI and Estonia-based Sentinel are also developing deepfake detection technology, according to the Bloomberg report.