Make limits visible
Confidence without false certainty.
Products should clearly communicate uncertainty, support verification, and provide meaningful fallback when a model cannot do the job reliably.
STIPDOT / Field note / Trust
Responsible AI is the operating system for scale.
As an AI product moves from a small group of enthusiastic users to consequential use, trust becomes an engineering, product, and leadership discipline.
Treat evaluation as continuous
Production is the real test.
A deployment needs relevant test sets, monitoring for drift, user feedback, and a process for updating the system when real-world conditions change.
Protect people and data
Privacy enables adoption.
Data minimisation, clear permissions, access control, and accountable governance are product requirements for any system that touches valuable information.
Investor question
Can this system earn permission to grow?
The strongest companies build technical and organizational habits that let customers expand use with confidence.
Apply the idea
A practical test: the answer that should be withheld.
Take an internal knowledge assistant and include questions that its documents cannot answer, questions a user lacks permission to ask, and documents that contradict one another. A dependable product should handle these cases deliberately: say when support is missing, respect access boundaries, and surface conflicts for review. Record both successful answers and the cost of inappropriate confidence. Repeat the evaluation after source changes or model updates. Trust grows when users can see where the system is useful and what it does when its evidence runs out.
The agent is not the product. The completed work is. ↗
The most useful way to assess an AI agent is not by how autonomously it appears to reason, but by whether it can own a valuable piece of work safely and repeatably.
Field note / AIGCGenerative AI should elevate taste, not erase it. ↗
AIGC creates an abundance of first drafts. Its lasting value will be measured by whether people can use that abundance to make better choices and more original work.
Field note / AI & workThe best AI gives people more room to do the work only they can do. ↗
The point of workplace AI is not to make people busier. It is to reduce avoidable coordination and give expertise, care, and judgment more room to matter.
Field note / AI & lifeA better future is one where intelligence is more widely available. ↗
AI can make daily life more dignified when it helps people understand complex systems, access services, learn new skills, and maintain more time for one another.
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Questions to take into a product review.
Start with the investor question: Can this system earn permission to grow?
Evidence limits
Can the system identify missing, conflicting, or inaccessible evidence without inventing a confident answer?
Change control
Which evaluations must pass when a model, data source, permission, or workflow changes?
Accountable response
Who can pause the system, investigate a failure, and verify that the correction works?