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ACM Opinion

Why Better AI May Depend on Fake Data

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An illustration depicts scientific data and computer code.

Researchers have yet to create formal studies to evaluate any differences between training AI systems with real-world or fake data.

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Using artificial intelligence (AI) to create synthetic data to improve machine-learning models is a hot topic. However, not everyone agrees that synthetic data is helpful.

It's unclear whether using synthetic data to train machine-learning models even leads to big improvements in training models. Additionally, some companies lack the technical staff and resources necessary to create synthetic data for machine learning. And, startups specializing in fake-data generation services are still young and have yet to prove themselves beyond test projects.

From Fortune
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