Gartner ThinkCast
Detecting Counterfeit Reality: Deepfakes and Why We Love Them
Oct 1, 2024
Daryl Plummer, an expert in counterfeit reality and AI who coined the term, dives into the captivating world of deepfakes. He discusses how AI blurs the line between reality and fabrication, stressing both the creative opportunities and the inherent risks. Plummer highlights the psychological effects of these technologies on trust and perception in society. He also explores the dual nature of synthetic data, providing insights for leaders on navigating this evolving landscape while addressing the potential for misinformation.
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Quick takeaways
- Counterfeit reality blurs the distinction between authentic and artificial content, prompting trust issues and challenges in information credibility for viewers.
- Despite potential risks, AI-generated content offers opportunities for innovation, enabling enhanced creativity and operational efficiency in various industries through synthetic data.
Deep dives
Understanding Counterfeit Reality
Counterfeit reality refers to the creation of convincing artificial content, including videos, audio, and text, which can mislead viewers into believing they are real. The term, coined in 2000, highlights the evolving capabilities of technology to produce content that closely resembles actual moments or actions of individuals. Examples include deepfakes and audio fakes, which blur the lines between what is authentic and what is fabricated. As a result, understanding this phenomenon becomes crucial as it raises questions about authenticity and the trustworthiness of the information we consume.
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