From Question to Use Case: Applying AI in Higher Education
Location: Online
Date: Thursday, 21 May 2026
Time: 12:00-13:00
Price: £15.00+VAT for AHEP ‘Associate’, ‘Member’, ‘Accredited’ and ‘Fellow’ with a charge of £30.00+VAT for Intro to AHEP and non-members.
This event is part of a wider series with Martha Horler, the Data Goddess and AHEP Consultant. Check out the events page for more information.

About this session
This session is part of the wider ‘AI Literacy’ webinar series, check out some of the subjects covered in future sessions here and join us as a member to receive free access!

Artificial intelligence raises many practical questions for higher education professionals, from how it might support specific tasks, to whether its use is appropriate in certain contexts. While structured guidance is valuable, many staff benefit most from the opportunity to explore real examples and challenges collaboratively.
This interactive session provides space for you to bring your own questions, ideas, or work-related challenges involving AI. Using examples drawn from your higher education practice, the session will explore how AI tools might be used, adapted, or deliberately avoided in different situations. Discussion will focus on practical considerations, professional judgement, and responsible decision-making rather than technical instruction.
The facilitator will guide conversation and, where helpful, demonstrate AI use live to explore potential approaches, limitations, and risks. Participants will be encouraged to reflect on what is feasible, appropriate, and proportionate in their own roles, and to learn from the experiences and perspectives of others in the group.
This session is designed to be exploratory and reflective, supporting you to develop confidence in navigating AI-related questions in your work rather than providing prescriptive solutions.
Why attend?
See how AI can be applied to real higher education work challenges
Learn a structured approach to experimenting with AI responsibly
Build confidence in deciding when, and when not, to use AI in your role
Who is this session suitable for:
This session is aimed at higher education professionals who want to move beyond awareness and experimentation to more confident, informed application of AI in their work. It is suitable for staff at all levels, particularly those involved in problem-solving, process improvement, or decision-making.
What you will do in the session:
You will be engaged through live demonstrations, guided walkthroughs of real examples, and reflective discussion prompts. You will be invited to consider how the approaches demonstrated could apply to your own work and to reflect on risks, limitations, and appropriate safeguards.
Learning Outcomes
By the end of the workshop, delegates will be able to:
1. Translate a workplace question or challenge into a practical AI use case
2. Apply a structured approach to experimenting with AI tools responsibly
3. Make informed judgements about when AI is appropriate, and when alternative approaches are preferable
How does this session align with the AHEP Professional Framework?
1. Empowering Professional Development
This session supports reflective practice and capability-building by enabling delegates to apply learning from across the series to their own professional contexts.
2. Demonstrating Responsible Practice and Personal Integrity
The session reinforces accountability and ethical judgement by emphasising safe experimentation, transparency, and clear decision-making around AI use.
We look forward to welcoming you to this event.
Speaker

Martha Horler
The Data Goddess and AHEP Lead Consultant
About Martha
Martha Horler is a data and AI consultant with extensive experience working across higher education, supporting institutions to use data responsibly, effectively, and ethically. Her work focuses on data strategy, AI literacy, governance, and capability-building for professional services and leadership teams.
Martha has worked with a wide range of higher education providers and sector bodies, delivering training, workshops, and advisory support on data-informed decision-making, AI readiness, and digital change. She brings a practical, non-technical approach to AI, grounded in real institutional contexts and an understanding of the challenges faced by higher education professionals.