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An October 19 LSE Impact essay by Helen Choi argues that academics have an ethical responsibility to support Wikipedia as AI-generated answers may reduce visits to the encyclopedia. It proposes editing articles, citing Wikipedia where appropriate and teaching students to contribute, while the scale of any traffic decline and its effects on volunteer activity remain unestablished in the supplied material.
Helen Choi, writing for LSE Impact on October 19, argues that academics have an ethical duty to support Wikipedia as AI services increasingly answer users directly, potentially reducing visits to the encyclopedia. Her essay calls on researchers and teachers to contribute expertise, cite Wikipedia when they use it and help students edit articles, warning that fewer readers could weaken the volunteer community that maintains the site.
Choi’s central concern is that people using products such as Google Gemini and ChatGPT may accept generated answers rather than follow links to the sources those answers draw on. She argues that if this behavior continues, Wikipedia could lose readers who might otherwise become editors, correct errors or update articles. The essay does not provide traffic figures or quantify the claimed trend.
Wikipedia relies on volunteers for work including writing, coding and administration. Choi says a smaller readership could mean fewer contributions and, over time, a less maintained encyclopedia. She also argues that AI companies depend on Wikipedia’s extensive content: the essay describes it as containing five billion words used in training systems, while noting different arrangements for access. Some companies, it says, scrape content without authorization; Microsoft, Amazon and Meta are named as companies that pay for high-speed API access.
The proposed academic response ranges from direct participation to classroom work. Researchers can use subject expertise to fill content gaps, correct mistakes and add context backed by reliable sources. Choi also recommends that academics cite Wikipedia when they rely on it, and assign students to contribute. The essay cites Wiki Education Foundation figures: since 2010, more than 152,000 students at over 8,000 colleges and universities in the United States and Canada have contributed more than 125 million words to Wikipedia.
How Academic Work Could Sustain Wikipedia
The argument links the health of an open reference work to the wider systems through which knowledge is produced and circulated. Wikipedia is maintained by a volunteer community, but its content is also used by readers, students, researchers and technology companies. If readers increasingly take answers from AI products without checking sources, Choi argues, the encyclopedia could lose both an audience and potential contributors. That possibility matters beyond the site’s page views: article maintenance depends on people identifying errors, adding current information and participating in community decisions.
Choi grounds the proposed duty in Iris Marion Young’s Social Connection Model, which connects responsibility for addressing injustice to participation in the structures and processes that produce it. She says academia is connected to knowledge production and has resources, status and expertise that many volunteer editors do not. This is her ethical argument, not a finding that universities or individual academics have a formal legal obligation to edit Wikipedia.
The suggestions could also affect teaching and research practice. Assignments that ask students to write for a public audience can give them experience evaluating sources, following copyright rules and attributing evidence. Citing Wikipedia when it has informed scholarly work, Choi says, could make research processes more transparent and acknowledge the resource’s role. The essay says citations to Wikipedia in academic journals appear to be increasing, including in high-impact health-science publications, but provides no figures or study details in the supplied material.
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Wikipedia’s Role in Open Knowledge
Choi presents Wikipedia as more than a store of material for technology companies. It is a self-governing volunteer community that produces and shares information outside direct commercial or government control. The essay contrasts its reach with commercial and machine-generated encyclopedia projects, including Microsoft Encarta and xAI’s Grokipedia, and notes that Wikipedia has been banned in some countries, including China. These comparisons frame the author’s case for its public value; they do not establish that its future is assured or that all readers use it in the same way.
The essay also describes a longstanding tension between Wikipedia and academic practice. Some scholars have been skeptical of the site, while Choi argues that academic citation practices can align with Wikipedia’s emphasis on references. Her proposal is not that Wikipedia replace scholarly sources or that every article be treated as authoritative. Rather, academics should improve articles where they have relevant expertise, teach students to assess and cite sources, and disclose when Wikipedia has informed their own work.
“Academics have an ethical duty to defend and support open knowledge communities such as Wikipedia.”
— Helen Choi, in an LSE Impact essay
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Traffic Effects Remain Unquantified
The essay argues that AI-generated answers may divert people from Wikipedia, but the supplied report includes no traffic data, time series or comparison baseline showing whether visits have fallen, by how much, or because of AI products. It also does not quantify changes in editing, the number of active volunteers or the effect of reduced readership on article quality. The risk of a weakened or defunct encyclopedia is Choi’s warning about a possible future, not a confirmed outcome.
The material does not detail which companies scrape Wikipedia without authorization, how much content is obtained through each access method, or the terms and financial value of paid API access. Nor does it provide the underlying evidence for the reported rise in academic citations or student assessments. These questions limit how precisely readers can measure the scale of the pressures Choi describes.
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Practical Steps for Researchers and Teachers
Choi’s essay points to actions academics can take now: improve pages within their expertise, use appropriate sources to support edits, cite Wikipedia transparently when it informs research and create classroom assignments that teach students to contribute responsibly. The Wiki Education Foundation figures cited in the essay show that such courses are already operating at institutions in the United States and Canada, though the material does not say how many programs are active today or whether further expansion is planned.
The broader questions—whether AI products continue to reduce direct visits, how that affects volunteer participation, and what arrangements can support sustainable access to Wikipedia content—remain open. The essay sets out an ethical case and practical proposals; it does not announce a new policy, intervention or commitment by universities, Wikipedia or AI companies.
educational resources for Wikipedia contribution
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Key Questions
What did Helen Choi argue?
Choi argued that academics have an ethical responsibility to support Wikipedia because they participate in knowledge production and have expertise and resources that can help sustain the volunteer-run encyclopedia.
Why does the essay say AI could threaten Wikipedia?
Choi says users may accept AI-generated answers instead of clicking through to linked sources. She warns that fewer readers could mean fewer people contributing edits and corrections, but the essay provides no figures measuring a resulting traffic or editing decline.
How can academics support Wikipedia?
The essay proposes editing articles in their fields, correcting errors, adding context with reliable sources, citing Wikipedia when it informs their work and teaching students to contribute responsibly.
How many students have contributed through Wiki Education?
The essay says that since 2010, more than 152,000 students at over 8,000 colleges and universities in the United States and Canada have contributed more than 125 million words to Wikipedia through the Wiki Education Foundation.
Has AI been proven to reduce Wikipedia readership?
Not by the evidence included in the supplied essay. Choi describes traffic diversion as a concern but gives no readership figures, comparison period or baseline that would establish the size or cause of any decline.
Source: hn
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