Concern 786 · Working draft · editorial review in progress

Ableist defaults

Ableist defaults occur when AI assumes that people have a narrow set of physical, sensory or cognitive abilities and treats other ways of living as abnormal.

Understanding the concern

A generated plan may assume everyone can climb stairs, hear an announcement or process dense instructions quickly. Descriptions may also frame disabled people only through pity or inspiration. Such defaults can exclude people even when the system never uses an openly insulting word.

Language research has found disability-related associations that can shape generated text and classification. Think of designing every doorway for one imagined body. Better representations include ordinary disabled lives and varied access needs, with input from people who have relevant experience. Asking what a person needs is more useful than assuming a diagnosis tells the whole story.

An example

An assistant plans an inclusive team activity but proposes a route with steps and no alternative access.

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.

Evidence and its limits

The sources test selected language behaviors and biases. They do not imply that every disability, person or accessibility need can be represented by one checklist.

Explore these sources in the library →
Broader frameworks and background

These resources provide context. They do not establish every claim in this concern.

A question to discuss

Which abilities does this answer assume, and whose everyday experience would change the plan?

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.

Unity

Unity means working toward shared purposes while making room for real differences. It does not require everyone to have the same experience, beliefs, or opinion.

Look for a goal people can share, then explore disagreements about how to reach it. Make sure quieter or less powerful voices can influence the result.

Ask together: What purpose can we share while respecting our differences?

Listening

Listening means trying to understand someone's experience before preparing an answer. People who use a service, work with it, or are judged by it may notice problems its designers miss.

Invite people to describe what happened in their own words. Repeat back what you understood and let them correct it. A quiet person or a complaint that is hard to measure may still reveal something important.

Ask together: Whose experience have we not heard yet?

Dignity

Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.

Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.

Ask together: Does this use treat each person as someone whose experience matters?

Editorial ratings

These are editorial judgments from the register, not measured probabilities or predictions about your situation.

Severity
Moderate · 2/5
Likelihood
Widely observed · 4/5
Time horizon
Now
Register risk score
8
About the register and scoring →
More ways to explore

Search for more writing

For more specific or recent material, open a search below or ask for a web summary. AI-generated summaries can contain mistakes; open the original articles to check them.

Explore a proposed use of AI →