This year we are partnering with Student Voice to conduct a pilot evaluating their service which uses AI to provide analysis of student feedback for institutions. We are accepting expressions of interest to take part in this pilot until 10/03/2023. Please read through this post to find out whether this pilot could be the right […]
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 […]
A review of Jisc’s chatbot webinar
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 […]
GPT-3 and Plausible Untruths
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 […]
We firmly believe that artificial intelligence can transform education for the better. But we are also aware that for AI to be a force for good, it must be used in a responsible way. The environmental impacts of AI are hence of paramount importance. In this blog, we introduce some of the key issues around […]