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Wikipedia Grapples With Chatbots: Should It Allow Their Use For Articles? Should It Allow Them To Train On Wikipedia?
Wikipedia Grapples With Chatbots: Should It Allow Their Use For Articles? Should It Allow Them To Train On Wikipedia?
It would be foolish to try to forbid Wikipedia contributors from using chatbots to help write articles: people would use them anyway, but would try to hide the fact. A ban would also be counterproductive. LLMs are simply tools, just like computers, and the real issue is not whether to use them, but how to use them properly.
While open access is a cornerstone of Wikipedia’s design principles, some worry the unrestricted scraping of internet data allows AI companies like OpenAI to exploit the open web to create closed commercial datasets for their models. This is especially a problem if the Wikipedia content itself is AI-generated, creating a feedback loop of potentially biased information, if left unchecked.
·techdirt.com·
Wikipedia Grapples With Chatbots: Should It Allow Their Use For Articles? Should It Allow Them To Train On Wikipedia?
Wikipedia:Guide to addressing bias - Wikipedia
Wikipedia:Guide to addressing bias - Wikipedia
Encyclopedias are a compendium and summary of accepted human knowledge. Their purpose is not to provide compelling and interesting articles, but to provide accurate and verifiable information. To this end, encyclopedias strive to always represent each point-of-view in a controversy with an amount of weight and credulity equal to the weight and credulity afforded to it by the best sources of information on the subject. This means that the consensus of experts in a subject will be treated as a fact, whereas theories with much less acceptance among experts, or with acceptance only among non-experts will be presented as inaccurate and untrue.
Before you even begin to try to raise the issue at a talk page, you should ask yourself "Is this article really biased, or does it accurately reflect the views of authoritative sources about this subject?" Do some research. Read the sources used by the article and find other reliable sources on the subject. Do they present the subject as controversial, or do they tend to take a side? If there's a clear controversy, what field of study would impart expertise on this, and what side do people who work in that field tend to take? Do the claims made by the article match the claims made by the sources? Depending on the answers to these questions, the article may not be biased at all.
·en.wikipedia.org·
Wikipedia:Guide to addressing bias - Wikipedia
AI Is Tearing Wikipedia Apart
AI Is Tearing Wikipedia Apart
While open access is a cornerstone of Wikipedia’s design principles, some worry the unrestricted scraping of internet data allows AI companies like OpenAI to exploit the open web to create closed commercial datasets for their models. This is especially a problem if the Wikipedia content itself is AI-generated, creating a feedback loop of potentially biased information, if left unchecked.
·vice.com·
AI Is Tearing Wikipedia Apart