Designing human-in-the-loop AI that people can trust
For consequential decisions, autonomy is the wrong default. Here is how to design AI systems where qualified people review, approve and remain accountable.
Insights
For consequential decisions, autonomy is the wrong default. Here is how to design AI systems where qualified people review, approve and remain accountable.
Big-bang rewrites promise a clean slate and often deliver a long, risky project. Incremental modernization replaces a system piece by piece while it keeps running.
Good quality gates make releases boring in the best way. The trick is choosing the right checks, ordering them for fast feedback and refusing to tolerate flakiness.
Security that arrives at the end of a project is expensive and incomplete. These practices move it into the everyday work of designing, building and shipping software.
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