Artificial intelligence: All Listings 

The maker of ChatGPT is trying to curb its reputation as a freewheeling cheating machine with a new tool that can help teachers detect if a student or artificial intelligence wrote that homework.

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Some instructors seek to craft assignments that guide students in surpassing what AI can do. Others see that as a fool’s errand—one that lends too much agency to the software.

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While AI programs raise concerns around cheating, they’re also an opportunity for educators to better prepare students to use the tools available to them in society, says Earl Woodruff, chair of the Ontario Institute for Studies in Education at the University of Toronto.

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Recent release of ChatGPT has generated a lot of interest in the media, as well as among educators. Here we summarise some of the lessons we can learn at this stage.

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More worrisome are the effects of ChatGPT on writing scientific papers. In a recent study, abstracts created by ChatGPT were submitted to academic reviewers, who only caught 63% of these fakes. That’s a lot of AI-generated text that could find its way into the literature soon.

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The toothpaste is out of the tube! ChatGPT is here and, whether we like it or not, we can’t go back to a time before its arrival. The question now is how do we, as educators, move forward?

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There are few current issues in education that have provoked more interest – or sounded more alarms – than artificial intelligence (AI) technology. While the issue has simmered for some time, it burst into the forefront of debate following OpenAI’s public release of ChatGPT.

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Just as pocket calculators, personal computers, and smartphones have posed threats to students learning math skills, AI (artificial intelligence) seems to be the new tool poised to undermine the use of writing assignments to assess student learning.

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I’m writing a series on the threat higher education faces and why I think it’s future is one of substantive, dramatic, and systemic changes. However, it’s not AI. There are a range of factors related to the core of what educators do: discover, create, and share knowledge. AI is part of it – and in the future may be the entirety of it. Short term, however, there are other urgent factors.

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Even while admitting that 'she' is just a collection of code, 'Daisy Chatbot' had columnist Chris Knight all but convinced there was a sentience behind her sentences.

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When Kristen Asplin heard about a powerful new AI chatbot tool called ChatGPT going viral online recently with its ability to write frighteningly good essays in seconds, she worried about how her students could use it to cheat.

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I may incorporate ChatGPT in future courses, but for now, I’ve developed 10 strategies to prevent students’ use of such technologies, writes Kevin Jacob Kelley.

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Large language models (LLMs) such as ChatGPT are sophisticated statistical models that predict probable word sequences in response to a prompt even though they do not “understand” language in any human-like sense.

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Anthropic, an AI startup co-founded by former employees of OpenAI, has quietly begun testing a new, ChatGPT-like AI assistant named Claude. The team at Anthropic was gracious enough to grant us access, and updates to Anthropic’s social media policies mean we can now share some of our early, informal comparison findings between Claude and ChatGPT.

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To harness the potential and avert the risks of OpenAI’s new chat bot, academics should think a few years out, invite students into the conversation and—most of all—experiment, not panic.

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Over the holiday season, lots of people play games such as Scrabble, cards or crossword puzzles. I decided to play with ChatGPT by testing it in areas where I consider myself an expert.

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This study evaluated the ability of ChatGPT, a recently developed artificial intelligence (AI) agent, to perform high-level cognitive tasks and produce text that is indistinguishable from human-generated text.

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The release of ChatGPT has everyone abuzz about artificial intelligence. I’ve been getting lots of questions about our research project Artificial Intelligence and Academic Integrity: The Ethics of Teaching and Learning with Algorithmic Writing Technologies.

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So how good is it? Well, it’s definitely not perfect – spend some time on Twitter and you’ll find a bunch of amusing, and also some really concerning, examples of what it gets wrong and how it can reproduce bias.

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This post is part of an ongoing series addressing factors that may lead to academic dishonesty and strategies for combating it.

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