"Underspecified and misaligned notions of interpretation impede progress towards the rigorous development of understandable, transparent, trusted AI systems."

"Underspecified and misaligned notions of interpretation impede progress towards the rigorous development of understandable, transparent, trusted AI systems." Powerful thesis. Essentially these are the steps forward: 1. precise definitions of interpretation, yielding interp-metrics 2. develop and train models that optimize both prediction accuracy _and_ interp-metrics 3. voilà, aligned objectives yield trusted AI