Mitigating the risks of AI transparency in the next decade

Enterprises are placing their highest hopes on ML (machine learning). However ML, which sits at the heart of AI (artificial intelligence), is also starting to unnerve many enterprise legal and security professionals.

One of the biggest concerns around AI is that ML-based models often operate as “black boxes.” This means the models, which are typically composed of artificial neural networks, may be so complex and arcane that they obscure how they actually drive automated inferencing. Just as worrisome, ML-based applications may inadvertently obfuscate responsibility for any biases and other adverse consequences that their automated decisions may produce.

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