Category: deepfakes

  • Historical Deepfakes, Part 2

    Historical Deepfakes, Part 2

    In Part 1 of historical deepfake blog post, we covered photographic manipulation that occurred in the 19th century. In Part 2, we will cover image manipulation from 1900 onwards, and the rise of video manipulation. Advancements in Media Manipulation Technology The 20th century saw significant advancements in the history of media manipulation with the development…

  • Unmasking Deepfakes with AI Detection Tools

    Unmasking Deepfakes with AI Detection Tools

    In this second blog from our deepfake detection series, we explore automated detection tools like TrueMedia.org, Sensity, and Clarity that analyze digital media to distinguish real content from AI-manipulated content. Thus akin to AI-based tools, they may detect inconsistencies in facial movements, lighting, and audio synchronization, providing a starting point for uncovering deepfakes. However, it’s…

  • Spotting the Signs: Common Cues to Identify Deepfakes

    Spotting the Signs: Common Cues to Identify Deepfakes

    As deepfake technology continues to proliferate across all media platforms, it becomes increasingly important for people to educate themselves with the knowledge and techniques necessary to identify and combat this threat.  In this first blog post of a series on detecting deepfakes, we will dig into common hints that may indicate the content is not…

  • What is a Deepfake? Evolving Policy and Philosophical Challenges

    What is a Deepfake? Evolving Policy and Philosophical Challenges

    First, let’s get the basics out of the way. The term “deepfake” combines the words “deep” from AI deep-learning technology and “fake” signifying potential inauthenticity. It most likely originated in late 2017 from a Reddit user known as “deepfakes”, although the underlying technology predates those posts.  A deepfake is created when someone uses an artificial-intelligence…

  • What is a Deepfake? From research to policy and beyond

    What is a Deepfake? From research to policy and beyond

    The term “Deepfake,” a blend of “deep,” representing the AI deep learning technology it’s born from, and “fake,” signaling its fabricated nature, gained first public attention in late 2017 courtesy of its namesake Reddit user. Initially infamous for its role in the creation of non-consensual pornography, deepfakes swiftly grabbed the attention of experts, policymakers, and…

  • Building a More Explainable Analyst-Centered Deepfake Detection Tool

    Building a More Explainable Analyst-Centered Deepfake Detection Tool

    Imagine an international summit happening in the near future. World leaders gather, tensions simmering beneath the surface. During a confidential meeting, a video emerges online. It allegedly captures a leader in the meetings making a surprising and fiery statement about another country that could strain relations between them. The footage spreads across social media, triggering…

  • The Future of Digital Authenticity: Lessons from the Biden Robocall Incident

    The Future of Digital Authenticity: Lessons from the Biden Robocall Incident

    In an era where technology’s capabilities seem boundless, the emergence of deepfakes has presented a formidable challenge to the integrity of digital communications. The recent incident involving a robocall falsely attributed to President Biden, as reported by Politico, underscores the urgency of addressing this challenge. As I explained to Christine Mui for that story, the…