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Vision and recommendations for AI in education

This page outlines an overarching strategy for AI in education that underpins both Curriculum 2027 and the Liverpool Strategy 2031. It is structured around four key strands that define the core principles and recommendations guiding the use of AI in education.

The recommendations outline the steps to ensure secure, equitable and well-governed adoption of AI in education across the University. This work sits within the University’s wider priorities around AI, including its use in research and the professional services.

Vision

Our overarching aim is to make our students ready for the workforce, capable of using a range of AIs and understand how to do so through having already used them responsibly. This requires us to responsibly and ethically integrate digital, AI, and generative AI technologies into our teaching and learning community and curriculum through ambitious innovation, creation and collaboration. We will place students at the centre of a culture of sustainable learning, critical thinking, and digital literacy that ensures equitable access and empowers all to use technology confidently, transparently, and purposefully, enriching education, lifelong learning and fostering the development of career-ready graduates.

Key strands of work

Strand 1: Students’ development of critical and ethical use of AI literacy

We will promote students’ ability to engage with AI critically, ethically, and creatively. By embedding AI literacy across all disciplines and valuing human insight and judgment, the University aims to cultivate responsible and forward-thinking learners who can harness AI tools to enhance ideas, realise their potential and build future readiness. We will also offer centralised yet flexible guidance to support local implementation.  

Lead: Education Leadership Team

Principles and recommendations

  1. Embed critical and ethical AI literacy across the curriculum so that all students engage confidently with AI in their learning and assessment, which enables students to become responsible learners, career-ready and agile thinkers
  2. Use the opportunity of the curriculum review to promote and create space for essential skills development in responsible AI use, while ensuring accessibility and inclusivity for all students
  3. Ensure students understand the value of human creativity, originality and judgment alongside AI-enabled learning, as well as transparency in AI use to maintain academic integrity, encouraging thoughtful, ethical and sustainable use of AI tools
  4. Empower students to make informed choices about when and how to use AI, and how to choose between different AI options, within a clear and consistent framework
  5. Establish regular feedback mechanisms to understand students’ experiences of learning about AI, ensuring the student voice informs ongoing development
  6. Work with students-as-partners in co-developing applications of AI to find solutions to significant disciplinary and interdisciplinary problems
  7. Define university-wide policies and guidelines on acceptable AI use that focus on and address academic misconduct and integrity for staff and students to ensure consistent ethical standards.

Strand 2: Staff development, training and support to build confidence

We will empower staff with the knowledge, skills and confidence to integrate AI ethically and effectively into their teaching. We will emphasise practical, subject-specific learning, collaborative co-creation with colleagues and students, and ongoing support through resources and mentoring. 

Lead: CIE

Principles and recommendations

  1. In the short term, signpost existing available training to staff, linked to a communications campaign stressing the importance of engagement with fast-evolving AI practice
  2. In the medium term, develop a coherent framework and a targeted professional development programme offering regular training to help teaching staff to effectively integrate AI responsibly and ethically into curricula and design academically robust assessments
  3. Ensure continued funding to support AI in education projects, to encourage innovation, foster collaboration, and ensure that successful AI practices are accessible for broad adoption and continuous improvement
  4. Recognise and reward staff engagement with AI innovation through institutional frameworks for professional recognition and progression. 

Strand 3: Tools, resources, infrastructure and policies

We will provide a secure, scalable and sustainable AI infrastructure that empowers innovation and ensures equitable access for students and staff, while aligning with the University’s ethical, academic and environmental principles. 

Lead: ITS

Principles and recommendations

  1. Explore a cost-effective way to provide staff and students with accessible, equitable and data-secure AI tools that promote innovation and enhanced learning and teaching experiences across the institution
  2. Establish clear governance structures for secure access to AI tools to support accessibility and inclusivity while ensuring data privacy and safeguarding sensitive information
  3. Support the implementation and integration of AI platforms across the institution, including through centralised guidance on the use of the technology that can be tailored or adapted by individual departments based on their discipline
  4. Continually review and monitor AI systems to ensure our provision remains equitably accessible, cost-effective, favourably comparable with Russell Group peers and aligned with our institutional needs and priorities.

Strand 4: Employability and industry alignment

We will equip students with employability-focused AI skills, professional attributes, and industry insights, ensuring they acquire in-demand skills needed to contribute positively to industry, society, and lifelong learning. We will leverage industry partnerships and authentic experiences to ensure students gain technical competence and professional behaviours valued by industry. 

Lead: Careers and Employability

Principles and recommendations

  1. Embed AI-related employability skills within curricula to cultivate an AI mindset and professional behaviours aligned with industry expectations
  2. Foster partnerships with employers and industry networks that inform both curricula and training programmes, as well as our wider institutional framework, ensuring the effective integration of AI and the continued relevance of graduate skills in a rapidly evolving landscape
  3. Actively collate, curate and use case studies and insights from industry and our own academic practice, incorporating these into student learning and staff training
  4. Promote internship opportunities which enable students to apply AI skills to authentic, interdisciplinary and socially meaningful challenges
  5. Develop a peer coaching model, hiring and training students to serve as peer AI coaches who run workshops and support other students in developing workplace AI skills.