Concern 567 · Working draft · editorial review in progress
Loss of research literacy
Research-literacy loss is the risk that people stop practicing how to find, compare and evaluate evidence because a tool supplies a ready-made answer.
Understanding the concern
Research literacy means knowing what a source is, what it actually supports and how strong its evidence is. A generated summary can make those steps invisible. A learner may collect citations without noticing that several repeat one claim or that a link does not support the sentence beside it.
An assistant can also teach these skills if it exposes the process and invites checking. Studies of generative search show why following citations matters. Education should assess how learners reached a conclusion, not just whether the final paragraph sounds informed. Opening an original source and explaining its limits is a useful part of that practice.
An example
A student lists several links but cannot say which one supports the main claim.
Illustrative unless identified as a documented case.
Evidence and its limits
The sources support verification and educational design concerns. They do not establish that all AI users lose research skills over time.
Liu, Zhang and Liang · Findings of EMNLP 2023 · Research study
Evaluating Verifiability in Generative Search Engines ↗ (opens in a new tab)Citation coverage and support in four then-current search systems; results should not be treated as current product rankings.
US Department of Education · Historical research and policy report
Artificial Intelligence and the Future of Teaching and Learning ↗ (opens in a new tab)2023 discussion of educational patterns, automated decisions and fairness; not current binding policy.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
How could an assignment reward checking evidence rather than collecting impressive-looking citations?
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.
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?
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?
Seeing potential
Seeing potential means recognizing people's capacity to learn, contribute, and grow. It resists reducing someone to a score or to the tasks a machine can perform faster.
Use tools to support people's development. Give learners time, feedback, and real opportunities to practice. A prediction about someone's performance should not close off their future.
Ask together: How could this help people develop abilities they value?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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