What is problem framing with artificial intelligence?
Definition
Problem framing determines what question an artificial intelligence system is being asked to help solve. It identifies stakeholders, assumptions, constraints and the difference between the visible request and the underlying need.
A strong frame makes model output easier to evaluate and can reveal that several approaches are possible. Students build durable skill by defining the problem, sequencing decisions and comparing alternatives rather than only requesting a finished answer.
Acronyms and aliases
AI-assisted problem framing acronym
Related terms
Frequently asked questions
Why is problem framing important when using artificial intelligence?
A model can optimize the wrong task fluently, so clear goals, constraints and success criteria are needed before generated alternatives can be judged.
What belongs in a problem frame?
A useful frame identifies the goal, stakeholders, evidence, constraints, risks, unknowns and the criteria that a satisfactory solution must meet.
Videos explaining problem framing with artificial intelligence
