OpenAI has released a new AI tool called Deep Research, designed to generate long-form reports by performing internet searches and reasoning about the next steps. While intended to aid research, the tool has sparked concerns about its potential for misuse in academic settings, as it can easily be used to produce reports without requiring students to conduct independent research. Critics worry that Deep Research may enable students to bypass the learning process and rely on AI-generated content, undermining the value of academic integrity.
Very few former students can claim they never wrote a last-minute research paper the night before it was due. AI tools are already giving students all newseems perfectly designed to help students fake their way through a term paper unless asked to cite sources that don’t include Wikipedia.
For example, OpenAI asked ChatGPT to look at iOS and Android adoption rates and the percentage of those who want to learn another language, then find “markets ChatGPT could better expand into.” The chatbot interface then asked for clarification on several points, such as whether engaging with a language app constituted interest. It sounds like the kinds of questions your college professor in a 400-level course would ask when presenting your planned research paper topic.
Occasionally, the bot will cite what sources it’s looking at, namely Wikipedia. In that market research example, the bot repeatedly looked at Wikipedia, just like every lazy undergrad working on a last-minute paper the night before it’s due. Remember, this is just a bot scraping the internet, so it won’t be accessing any non-digitized books or—ostensibly—any content locked behind a paywall.
In one of OpenAI’s examples on “Civilian Supersonic Air Travel – 10-year Market Analysis” , the AI cites Wikipedia, the webpage for Boom Supersonic, thejet plane, and the front page of a few industry publications. In another example, OpenAI said its model could find multiple papers on advanced biology topics. However, another research paper breaking down an episode of Counterpart ripped parts of its info from a fan wiki.
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