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In this session, we will briefly talk about generative AI and Russell Group Universities. The Russell Group Universities have published a series of principles on the use of generative AI tools in education. Universities will support students and staff to become AI literate. Staff should be equipped...

In this session, we will briefly talk about generative AI and Russell Group Universities. The Russell Group Universities have published a series of principles on the use of generative AI tools in education. Universities will support students and staff to become AI literate. Staff should be equipped to support students to use generative AI tools effectively and appropriately in their learning experience. Universities will adapt the teaching and assessment to incorporate the ethical use of generative AI and support equal access. Universities will ensure academic rigor and integrity is upheld. Universities will work collaboratively to share best practice as the technology and its application in education evolves. If you wish to read more about Russell Group Universities recommendations on generative AI, we suggest that you access the Russell Group Universities’ website. Many organizations have their own recommendations and guidelines when it comes to generative AI. The University of Glasgow, for example, has published a generative AI guidance by looking at several key questions, such as, what is the University of Glasgow position on the use of AI? What are the limitations of AI tools? How can I adapt assessment to deal with generative AI? How can I ensure academic integrity? We suggest you check your organization recommendations and guidelines on this matter. While several governments are working on their regulations on generative AI as we talk, we think it is important to point out that today the UNESCO website has guidance for generative AI in education and research available. Based on a humanistic vision, the guidance proposes key steps to the regulation of generative AI tools, including mandating the protection of data privacy and setting an age limit for the independent conversation with the generative AI platforms. To guide the proper use of the tools in education and research, this guidance proposes a human agent and age appropriate approach to the ethical validation and pedagogical design processes. In this course, we will use some types of generative AI, such as ChatGPT. ChatGPT is a large language model that can process and generate natural language text. It is trained on a vast corpus of text and generates responses through predictions. You can access the free version of the chat on the website. It works with prompts, which are specific requests and/or questions, and often can produce hallucinations, which are responses that sound plausible, but are either factually incorrect or nonsensical. There are some concerns about biases due to the regional data that ChatGPT is trained upon. In this slide, we give you some examples of possible use of ChatGPT in education, such as create multi-choice questions, answers, and feedback, simulating data sets, or support brainstorming for idea generation. More ideas and discussion opportunities will be available throughout the course.