Publishing an intro to generative AI is a challenge as things are moving so quickly. However, we think things have now settled down enough for us to bring together information in a single place, to create a short primer. We aim to publish this as a more formal guide that will be updated regularly, but […]
Tag: Understanding AI
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 […]
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 […]
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 […]
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 […]
Forward Today we have a guest blog post from one of Jisc’s data science apprentices, Eleni Apostolopoulou. It’s more technical than our usual posts, but we’ve seen a lot of interest in the detail of how exactly AI can be used with existing data to solve problems, so we thought it would good to share […]
Introduction One of the core aims for our national centre for AI in tertiary education is to help institutions along their journey to mature adoption of AI services. To do this, we are underpinning our work with a maturity model, which we first introduced in our AI in Tertiary Education Report. This model brings together […]
Introduction Like any field, AI is full of specialist terms. There are quite a few glossaries of AI terms available, but we think it might be useful to create one focused on AI in educational technology – including ed tech specific terms, putting terms in context, and linking to examples. In this post we’ll look […]
In this installment of the AI in Education: Here and Now series Rob Howe, Head of Learning Technology at University of Northampton, shares his experiences of conducting pioneering AI Pilots. The University of Northampton has been following A.I. developments for many years and discussion on this topic is now integrated into some of the […]
The national centre for AI in tertiary education aims to help colleges and universities unlock the potential of AI in education. An important first step along this journey is to pin down AI’s potential by identifying how this innovation can add value to the sector. As a starting point, the Centre has developed the following […]