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 […]
Category: Understanding AI in Education
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 […]
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 […]
In November 2022 we held a webinar to introduce our maturity model for AI for education. The webinar expanded on the concepts discussed in our blog post A Maturity Model for AI in Tertiary Education. This post is primarily for attendees of the webinar and aims to list the resources we mentioned. We’ve also included […]
Harnessing recent progresses in the area of deep learning and Natural Language Progressing (NLP), Warwick Business School (WBS) and the University of Warwick recently developed in-house the “AI Essay-Analyst”, an academic-writing-tool that provides students with around 15 pages of formative feedback following voluntary submission of students’ essays or dissertations. Dr. Isabel Fischer, Associate Professor (Reader) […]
Introduction Over the last few months, we have seen huge advances in the ability of AI to create images. As this is such a new development, we are still at the start of understanding the educational use case. Possibilities include the use by educators to create learning resources and the use by students in creative […]
Introduction There have recently been huge advances in the ability of AI to generate content. This includes the creation of text, images and computer code, through technologies such as GPT-3, DALLE-2 and Stable Diffusion. This has resulted in a new and growing field of tools that have the potential to disrupt assessment processes – both […]