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Detecting Deepfakes With AI
Aug 1, 2024
Ali Shahriyari, co-founder and CTO of Reality Defender, dives into the urgent issue of deepfake detection. He discusses real-life incidents of deepfake fraud, shedding light on their implications for banking and politics. The conversation highlights the technological intricacies of distinguishing real content from AI-generated fakes. Ali emphasizes the constant evolution needed in detection tools and raises ethical concerns about misinformation's impact on public trust. He also delves into how society's biases complicate our acceptance of information—real or not.
39:18
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Quick takeaways
- The rapid advancement of deepfake technology poses significant challenges for organizations and individuals, requiring robust detection systems to mitigate risks.
- AI-driven models developed by Reality Defender play a crucial role in identifying deepfakes, helping clients like banks and media companies safeguard against fraud and misinformation.
Deep dives
The Rise of Deepfake Technology
Deepfake technology has advanced significantly, becoming more sophisticated and accessible. The rapid evolution of AI has enabled the creation of high-quality deepfakes, which can convincingly simulate real individuals in videos and audio. A notable example involves a case where a company’s employee was tricked into transferring $25 million after being misled by a deepfake of the CFO during a video call. This incident illustrates the increasing difficulty in distinguishing between real and AI-generated content, highlighting the urgent need for detection solutions.
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