An ambitious idea becomes easier to discuss when a small part can be observed. Choose a question with a result you can describe and a trial you can reverse.
Keep the experiment separate from important live work where possible. Record the conditions, the result, and anything that did not behave as expected.
The outcome may be a better question rather than a finished solution. That is useful progress: the next conversation has evidence to work with.
An example to consider.
Imagine testing one unfamiliar interaction in a spare prototype. The trial can teach you something without committing the whole publication to the idea.
Put it in perspective.
Consider the point where a person should regain control. A future tool remains useful when its limits are legible and a different choice remains possible.
A few starting points
- Choose one question the trial can answer.
- Keep the scope and consequences bounded.
- Record the result and its limits.
Follow a related question
Distinguish local preferences from account data.
Where a cloud application livesWrite the assumptions beside the calculation.
An estimate with visible assumptionsKeep learning
Related background to continue exploring this subject.
Google: an introduction to language models NIST: AI risk management frameworkMake room for ideas
