So you’ve heard about ChatGPT and want to explore it but don’t know where to start? This is the first in a short series of blog posts giving some pointers on how to get going. In this series we’ll look at potential timesaving examples around creating lesson/course plans, quizzes and getting feedback on your writing. […]
Category: Understanding AI in Education
Hidden Workers powering AI Many people are aware of various AI tools and technologies but most of us aren’t aware of invisible workers involved in the production of AI. This blog post focuses on hidden labour involved in AI production. We aim to raise awareness and educate educational institutions about this important issue. Although research […]
We are seeing the first guidance to students on the use of ChatGPT and AI tools in assessment starting to emerge. Getting terminology correct on this is a little challenging, so we are going to explore this. Much of the guidance is, for the time being at least, telling students not to use AI in […]
In our webinar before Christmas, we suggested that “A war between AI plagiarism detection software and generative AI won’t help anyone“ We want to share a quick example that shows why this might be the case. For this experiment, we are using GPTZeroX, which has recently been updated. Our aim isn’t to call out a […]
On Friday 27th January 2023, Jisc’s national centre for AI in education were joined by Dr Andrew Cox (University of Sheffield), Neil Dixon (Anglia Ruskin University) and Dr Tim Coughlan (Open University), who co-delivered an absorbing webinar on the topic of chatbots. Andrew and Neil kicked off the session with an interactive workshop, where participants […]
Summary Bias can be defined as AI that is systematically unfair to certain groups of people The data that ChatGPT is trained on contains many forms of bias. OpenAI have tried to mitigate this by introducing human feedback in the training. This prevents some of the worse behaviour seen in previous chatbots such as Microsoft’s […]
In January 2023 we held a webinar to introduce the concepts of bias and explainability in AI, and how we should consider these when thinking of using AI tools in education. This post is primarily for attendees and viewers of the webinar and aims to list the resources we mentioned, so the resources are presented […]
Automating transcriptions and captions is perhaps one of the most widespread uses of artificial intelligence (AI) in education today. When aiming to increase accessibility, these technologies— which frequently combine Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) to produce text from audio —are a key focus. Indeed, the provision of captions for pre-recorded materials is a […]
Last week we hosted a webinar looking at how artificial intelligence has the potential to disrupt student assessment. In this post we reflect on the event and share some of the ideas generated and questions asked. The topic certainly seems to be of wide interested, with over 130 attendees. We started with a quick poll […]
There’s no doubt that GPT-3 and other generative AI models are hugely impressive. We have shown how it could write a reasonably good short essay in a previous blog post and shown how to explore its ability to generate impressive images another post. Impressive as they are, it’s important to understand the limitations of these […]