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 […]
Month: January 2023
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 […]