AI's Hunger for Data Drives Rush to Create and Label Content, With Concerns Over Fakes
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There is a huge hunger for high-quality text data to train next-generation AI language models, with some experts predicting supply shortages within two years. Companies are paying for writers to create natural content and label synthetic data.
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Platforms like YouTube, Meta, and Google are implementing stricter rules around disclosing and labeling realistic AI-generated content to combat misinformation and fakes.
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Photobucket and other content platforms are selling photos, videos, and other media to AI companies to train models, opening a potential new monetization avenue.
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AI labeling and disclosure could help spotlight human-created content and give financial incentives for quality, reversing some negative content commercialization trends.
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With advanced tools like Sora on the horizon, there are rising fears of AI-generated election misinformation and fakes. Labeling and verification are critical to combat this.