Appropedia:Use of AI

▼This page in a nutshell:Use of AI is allowed but you're still responsible for anything you publish on Appropedia.

AI (Artificial Intelligence), most specifically LLMs, are technologies used to generate natural language content, allowing users to engage in conversations, ask questions and receive answers. AI can help you brainstorm and generate new ideas as well as generic text to fill in gaps. It can also be used to edit drafts to ensure that the content is polished and free from errors.

From Wikipedia:Large language model

A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate training data can make an LLM's output less reliable.

As of 2026, the most capable LLMs are based on transformer architectures, which, according to the 2017 paper "Attention Is All You Need", can be more efficient and parallelizable than earlier statistical and recurrent neural network models.

Benchmark evaluations for LLMs attempt to measure model reasoning, factual accuracy, alignment, and safety.

Use of AI on Appropedia is allowed under the following conditions:

• The content to be created will be used to support your original research.
• There is no equivalent content available on Wikipedia, a different wiki, or any source shared under an open license.

• The information generated by AI is not always accurate or reliable, and you're still responsible for anything you publish on Appropedia.
• AI's may not always understand the context of a conversation or the nuances of language, so you should review and edit the content generated by AI to ensure that it is accurate, unbiased, and appropriate for the intended audience.
• Remember that AIs are programmed to generate text that makes sense, not necessarily text that is accurate or truthful, so they sometimes hallucinate. Also, they produce content based on the information they have been trained on, so depending on the type of prompt, the information may be outdated and biased.
• Large language models are built using existing materials, including content on Appropedia, sources are usually not attributed or mentioned. This undermines the work of individuals who do this type of work.
• There are inherent biases in AI that can render communities invisible, or perpetuate power imbalances.

There's no requirement to cite the AIs you use to generate text (but you are encouraged to do so, and may be required to do so if you are editing Appropedia as part of your work, organization, or course), just as there's no requirement to cite the software you used for spellchecking and grammar corrections. However, it is advisable to cite the sources from where the AI generated the text, so users can verify it. Doing so may require research, or you may use AIs like Perplexity that already include the sources used.

We recommend AI for the following actions:

• Create summaries of texts (especially those authored by you or from open sources, including long pages on Appropedia).
• Sumamrize video transcripts to ensure that embedded content such as YouTube videos are accessible offline or more easily understood by others.
• Ask an AI to criticize or raise objections to an essay or piece of content.

• ChatGTP - The most well known AI
• Perplexity - AI that generates text while citing its sources