The supply of freely available high-quality training data for AI models is diminishing, leading to a growing reliance on synthetic data generated by other AI. As AI developers face privacy restrictions and limited access to real-world datasets, synthetic data is becoming a crucial alternative for model training. However, concerns are emerging about the potential manipulation and misuse of synthetic data, with the possibility of intentionally misleading AI models and overlooking fraudulent patterns. Blockchain technology could help mitigate these risks by ensuring data is tamper-proof.



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