![]() Video Authenticator was created using a public dataset from Face Forensic++ and was tested on the DeepFake Detection Challenge Dataset, both leading models for training and testing deepfake detection technologies. This technology was originally developed by Microsoft Research in coordination with Microsoft’s Responsible AI team and the Microsoft AI, Ethics and Effects in Engineering and Research (AETHER) Committee, which is an advisory board at Microsoft that helps to ensure that new technology is developed and fielded in a responsible manner. It works by detecting the blending boundary of the deepfake and subtle fading or greyscale elements that might not be detectable by the human eye. In the case of a video, it can provide this percentage in real-time on each frame as the video plays. Video Authenticator can analyze a still photo or video to provide a percentage chance, or confidence score, that the media is artificially manipulated. Today, we’re announcing Microsoft Video Authenticator. election, advanced detection technologies can be a useful tool to help discerning users identify deepfakes. However, in the short run, such as the upcoming U.S. They could appear to make people say things they didn’t or to be places they weren’t, and the fact that they’re generated by AI that can continue to learn makes it inevitable that they will beat conventional detection technology. One major issue is deepfakes, or synthetic media, which are photos, videos or audio files manipulated by artificial intelligence (AI) in hard-to-detect ways. ![]() At Microsoft, we’ve been working on two separate technologies to address different aspects of the problem. It’s also part of a broader focus on protecting and promoting journalism as Brad Smith and Carol Ann Browne discussed in their Top Ten Tech Policy Issues for the 2020s.ĭisinformation comes in many forms, and no single technology will solve the challenge of helping people decipher what is true and accurate. What we’re announcing today is an important part of Microsoft’s Defending Democracy Program, which, in addition to fighting disinformation, helps to protect voting through ElectionGuard and helps secure campaigns and others involved in the democratic process through AccountGuard, Microsoft 365 for Campaigns and Election Security Advisors. Recent reports also show that disinformation has been distributed about the COVID-19 pandemic, leading to deaths and hospitalizations of people seeking supposed cures that are actually dangerous. Some 93% of these campaigns included the creation of original content, 86% amplified pre-existing content and 74% distorted objectively verifiable facts. While 26% of these campaigns targeted the U.S., other countries targeted include Armenia, Australia, Brazil, Canada, France, Germany, the Netherlands, Poland, Saudi Arabia, South Africa, Taiwan, Ukraine, the United Kingdom and Yemen. These campaigns, carried out on social media, sought to defame notable people, persuade the public or polarize debates. ![]() Research we supported from Professor Jacob Shapiro at Princeton, updated this month, cataloged 96 separate foreign influence campaigns targeting 30 countries between 20. There is no question that disinformation is widespread. Today, we’re announcing two new technologies to combat disinformation, new work to help educate the public about the problem, and partnerships to help advance these technologies and educational efforts quickly.
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