Operational AI
This stage of the AI maturity toolkit involves training staff, developing workflows, and establishing support systems to ensure AI technologies are used effectively.
You may already:
- Have institutional AI principles established
- Have a systemic approach to staff AI skills and literacy
- Make everyday use of AI institution wide
- Use task specific for one or more processes across an organisation
This is the stage that we see most institutions planning for and moving to at the moment, and so have produced a checklist of core activities (docx).
The focus is on making AI a part of routine activities to improve efficiency and effectiveness in administrative and educational processes.
Resources
Strategic
Resources to give you a comprehensive understanding of AI and the opportunities and challenges for tertiary education. To support planning and responsible decision making as AI continues to evolve.
- Navigating the future: Higher Education policies and guidance on generative AI - a list of the guidelines and policies submitted by HE institutions across the UK
- AI and Jisc’s leadership survey
- From principles to practice: taking a whole institution approach to developing your artificial intelligence operational plan - a blog about the importance of adopting a comprehensive institutional approach and developing an operational plan for AI implementation, including a checklist of actions
- Library strategy and artificial intelligence - a summary of the debate “Artificial Intelligence: Where does it fit into your library strategy?” held at the University of Sheffield
Supporting students/learners
Advice and guidance on addressing student needs and concerns with guidance to support their learning experience.
- Learner guidance for FE - this blog post provides an example of learner guidance on artificial intelligence suitable for adoption across FE institutions
- Generative AI in practice - a collection of real examples of generative AI in practice for teaching and learning submitted by Jisc member institutions
- HE generative AI literacy definition - defining a fundamental level of AI literacy for staff in HE
- FE generative AI literacy definition - defining a fundamental level of AI literacy for staff in FE
Supporting staff
Access practical guidance on the capabilities and limitations of AI helping staff integrate AI tools responsibly.
- AI literacy webinar series: how to access the recordings - this blog covers our series of 5 webinars exploring generative AI in education, and links to the training session sign up page
- Navigating prompt roles
- How to use ChatGPT
- How to use Microsoft Copilot
- How to use Google Bard
Maintaining academic integrity
Practical guidance covering assessment and the latest information on detection.
- Embracing generative AI in assessments: a guided approach - a guide designed to help navigate the complexities of GenAI integration in assessments in a way that is practical and responsible
- Assessment ideas for an AI enabled world (pptx) - a menu of ideas to provoke discussion and reflection around assessment approaches in HE
Safe responsible use:
- Age restrictions and consent to use generative AI - a blog explaining the potential options for learners under 18 to access generative AI tools, including the necessity of obtaining parental or guardian consent for some tools
- Licensing options for generative AI - guidance on licensing options for major text-based generative AI tools
- AI procurement due diligence - exploring the importance of due diligence in the integration of AI in education and research, highlighting the need to address ethical, legal, and societal concerns
- Resisting restrictive AI clauses in licenses - guidance for dealing with publishers and providers of online content seeking to include clauses in licences that restrict the use of their content in artificial intelligence (AI) systems
Next stage: embedded
In the next stage, AI should be embedded in existing strategies, rather than as standalone AI strategy.