
How to Observe Real Work Before Proposing an AI Use Case
A practical field-research method for finding recurring workflow constraints, testing their consequences and comparing AI with simpler changes.
Practical intelligence for accountable AI programs.
Find opportunities in decisions, content, knowledge, prediction, and workflows that are grounded in real work.

A practical field-research method for finding recurring workflow constraints, testing their consequences and comparing AI with simpler changes.
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Ten topics covering the full life of an AI program, from first use case to retirement.