Black Box AI

Black box AI refers to artificial intelligence models whose internal workings are not easily interpretable by humans, making it difficult to understand how inputs are transformed into outputs.

These models—such as deep neural networks and generative AI—often deliver accurate results but lack transparency, raising concerns about trust, accountability, and compliance. In AI governance, managing black box AI involves implementing tools for traceability, documentation, and monitoring to ensure decisions are explainable, ethical, and aligned with regulatory standards. Platforms like ModelOp enable enterprises to oversee black box models effectively, even when using third-party or vendor-developed AI systems.