But Ram Shankar Siva Kumar, who works on AI security at Microsoft, says they should still worry about people messing with their AI models. Most companies using AI in their business donРІР‚в„ўt have to worry as Facebook does about being accused of skewing a presidential election. РІР‚СљWeРІР‚в„ўre trying to think very broadly about the pressing problems in the upcoming elections,РІР‚Сњ he says. The results show that preventing AI trickery isnРІР‚в„ўt easy.Р”В¬antonРІР‚в„ўs team is now examining the robustness of Facebook's misinformation detectors and political ad classifiers.

The red teamРІР‚в„ўs weightiest project aims to better understand deepfakes, imagery generated using AI that looks like it was captured with a camera. One project is examining the circulation of posts offering goods banned on the social network, such as recreational drugs. It also began working with another research team inside the company that has built a simulated version of Facebook called WW that can be used as a virtual playground to safely study bad behavior. In the past year, CantonРІР‚в„ўs team has probed FacebookРІР‚в„ўs moderation systems. РІР‚СљThat inspired me that this should be my day job.РІР‚Сњ A second discovered the attack used in early 2019 to spread porn on Instagram, but it wasnРІР‚в„ўt considered an immediate priority to fix at the time. One team at the contest showed that using different languages within a post could befuddle FacebookРІР‚в„ўs automated hate-speech filters. Some teams found weaknesses that Canton says convinced him the company needed to make its AI systems more robust. In 2018, Canton organized a РІР‚Сљrisk-a-thonРІР‚Сњ in which people from across Facebook spent three days competing to find the most striking way to trip up those systems.

He was proud of his teamРІР‚в„ўs work on AI systems to detect banned content such as child pornography and violence, but he began to wonder how robust they really were. The process doesnРІР‚в„ўt perfectly recreate the original, but it allows the porn classifier to do its work without getting tripped up.Р”Р‡acebookРІР‚в„ўs AI red team is led by Cristian Canton, a computer-vision expert who joined the company in 2017 and ran a group that works on image moderation filters. His team eventually tamed the problem of AI-evading nudity by adding another machine-learning system that checks for patterns such as grids on photos and tries to edit them out by emulating nearby pixels. Users РІР‚Сљstarted adapting by going with different patterns,РІР‚Сњ says Manohar Paluri, who leads work on computer vision at Facebook.

That meant more work for Facebook's human content reviewers.Р”Р‡acebookРІР‚в„ўs AI engineers responded by training their system to recognize banned images with such patterns, but the fix was short-lived. But some users found they could sneak past InstagramРІР‚в„ўs filters by overlaying patterns such as grids or dots on rule-breaking displays of skin. In February 2019, some Instagram users began editing their photos with a different audience in mind: FacebookРІР‚в„ўs automated porn filters.Р”Р‡acebook depends heavily on moderation powered by artificial intelligence, and it says the tech is particularly good at spotting explicit content. Instagram encourages its billion or so users to add filters to their photos to make them more shareable.

Facebook hacking machine