Concern 127 · Working draft · editorial review in progress
Confidence miscommunication in UX
Confidence miscommunication occurs when an interface leads people to misunderstand how certain or well-supported an AI answer is.
Understanding the concern
A percentage, green check, or phrase such as probably can imply different things to different readers. A technically meaningful score may be mistaken for a guarantee that the answer is true or safe to act on.
The issue is the user's interpretation, not only the model's measurement. Design should explain the score's meaning in context and test whether people understand it. Important limitations should appear where a decision is made.
An example
A user reads a match score as a probability of guilt, although the number measures only similarity within a tool.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Model
- The learned part of an AI system. It uses patterns found during training to produce an answer or prediction.
- Interface
- The controls and displays people use to interact with software, such as buttons, menus, and chat windows.
- UX
- User experience: what it is like for a person to use a service, including how easy and understandable it is.
Evidence and its limits
Supports distinguishing technical confidence from justified reliance; the interface example is hypothetical.
Guo and colleagues · ICML 2017 · Research study
On Calibration of Modern Neural Networks ↗ (opens in a new tab)Studies agreement between classification confidence and observed accuracy; fluent language is not a calibrated probability.
NIST · AI 600-1 · 2024 · Official risk framework
Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile ↗ (opens in a new tab)Describes generative-AI risk categories and management actions; it does not measure the failure rate of every product.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
What do users think this confidence display means, and is that interpretation justified?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Humility
Humility means recognizing the limits of our knowledge and being willing to learn from others. Expertise can be valuable without answering every question.
State where evidence is weak, invite criticism, and listen to people with different experience. Leave room to revise a decision when new information appears.
Ask together: What might we be missing, and who could help us see it?
Prudence
Prudence means using careful judgment before and during action. It balances worthwhile opportunities with the need to avoid harm that could have been anticipated.
Start with a limited trial, set stopping points, and prefer choices that can be undone when uncertainty is high. Review what happens rather than assuming the original plan remains sound.
Ask together: What is a careful next step, and when should we stop or change course?
Truthfulness
Truthfulness means making claims that match the evidence and being clear about what we do not know. It includes correcting mistakes rather than protecting a polished story.
Check sources, label guesses, and distinguish a trial result from a proven benefit. If AI helped produce a claim, someone still needs to take responsibility for checking it.
Ask together: What can we honestly say, and what still needs checking?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
About the register and scoring →More ways to explore
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