1) they require extensive, high-quality data — a scarce resource for many enterprises,
2) third-party AI models can include problematic biases, and
3) training fine-tuned models with users’ personal data may result in privacy violations.

However, data collaboration platforms can help address these challenges. They can provide a privacy-preserving training space on high-quality, abundant data, ensuring compliance with privacy laws and unleashing the full potential of fine-tuned models.

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by José Parra-Moyano, Karl Schmedders, and Alex “Sandy” Pentland