Podcast ¦ Informing Choices : Deepfakes The Good, the Bad, and the Ugly with Sylvia Gallusser & Tunu Wamai

Summary: The article discusses the risks and opportunities associated with deep fakes, which are synthetic media created using AI and machine learning to manipulate someone’s appearance or voice. The risks include identity theft, reputational damage, and fraudulent activities, while the opportunities include entertainment, art, and education. The interview also explores different perspectives on the risks and the need for thoughtful consideration of technology, identity, and influence. The article highlights the potential dangers of deep fakes in areas like politics and the importance of regulating digital media where it is more difficult to control compared to traditional media.

Key Points:

• Deep fakes are digitally manipulated media that use AI and machine learning to make it appear as if someone is saying or doing something they never did.
• The risks of deep fakes include identity theft, reputational damage, and business defamation.
• Anthropomorphization in deep fakes is used in advertisements, which can lead to identity theft and fraud.
• Ruthless or uncaring actors may create deep fakes without considering the consequences, resulting in misinformation and copyright issues.
• Insufficient perspective and unintended consequences are other risks associated with deep fakes.
• The use of deep fakes in politics can endanger democracy and truth.

Key Statistics:

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Key Takeaways:

• Deep fakes present both risks and opportunities, and careful consideration is needed to balance the use of this technology.
• Identity theft and fraud are major risks associated with deep fakes, including the misuse of celebrities’ identities for advertising.
• Businesses may face reputational damage and loss of brand value due to deep fake attacks.
• The use of deep fakes in politics can have an impact on elections and manipulate public opinion.
• The development of regulations, monitoring, education, and solutions is needed to address the risks of deep fakes.