White Paper

How to Build AI That People Trust

Would you get on a plane flown by AI?

Trust in AI is about much more than model accuracy. It is affected by how well we understand it and how it reached its decisions, our control over inputs, its past record, and the consequences of it going wrong.

Trust can be undermined by many factors in data, design and use. Many companies have built good AIs, but users have issues trusting results.

Our whitepaper examines what makes AIs trustable, and explains how to create AIs that are:

  • Accurate and assured
  • Provide explainability to support human decisions
  • Incorporate interfaces designed to be used by humans
  • Address legal and ethical concerns from the start
  • Continue to perform reliably in the real world

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