Algorithmic Explainability

Understanding how an AI system arrives at its outputs is foundational to your organization and your customers trusting and adopting that system.

Many AI systems are designed for performance rather than understandability. Sometimes even the system designers themselves may not have a clear understanding of how their AI system arrives at its outputs.

The inputs go in, the outputs come out, but there can be a lack of clarity around what happens “inside the black box”.

We partner with your IT staff and vendors to help conceptually deconstruct and document an AI system’s algorithm to provide you a clear understanding of how the system works.