A tsunami of AI deepfakes was expected this election year. Here's why it didn't happen.

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A tsunami of AI deepfakes was expected this election year. Here's why it didn't happen.

The anticipated surge of AI deepfakes during the 2024 election cycle did not materialize as expected. Concerns about realistic disinformation disrupting the democratic process were prevalent, yet the actual impact was minimal. Oren Etzioni, founder of TrueMedia.org, shared insights on why the feared barrage of deepfakes failed to occur.

Etzioni noted that traditional misinformation tactics were still effective without the need for AI-generated content. He highlighted that while generative AI technology is advancing, it is not yet capable of producing highly realistic deepfakes easily. The lessons learned indicate that democracies must prepare for future challenges posed by AI deepfakes, emphasizing the need for regulation and human oversight.

• AI deepfakes were expected but did not significantly impact the 2024 elections.

• TrueMedia.org was established to combat AI-generated misinformation.

Key AI Terms Mentioned in this Article

Deepfake

Deepfakes refer to synthetic media where a person's likeness is replaced with someone else's, often used in misinformation.

Generative AI

Generative AI involves algorithms that can create new content, such as images or videos, based on learned patterns.

AI Detection Technology

AI detection technology is used to identify whether media content is real or manipulated, crucial for combating misinformation.

Companies Mentioned in this Article

TrueMedia

org is a nonprofit organization focused on using AI detection technologies to verify the authenticity of online content.

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