Here in Part II of this two-part Amplify series on disciplining AI considered criteria for AI success across industries and social domains, we closely examine how to evaluate against one’s criteria when building and governing AI systems.

Having a framework in place to measure one’s AI system against purpose and context leverages this technology’s ability to learn and adapt without extensive rewiring. Data from evaluations can feed both into strategic planning and straight back into the AI system.

Eystein Thanisch

Guest Editor