You can use Zero-Knowledge Proofs (ZKPs) to verify that an AI model's output was generated correctly without revealing the model or input data.
Here is the code snippet below:

In the above code, we are using the following key points:
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Simulated model logic under a ZKP framework
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PrivVal to protect sensitive values
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Proof that links input and output without exposing them
Hence, ZKPs allow secure validation of AI behavior in sensitive domains without disclosing internal details.