About the Series
Artificial intelligence is increasingly shaping how higher education operates, from communication and administration to analytics, decision-making, and policy development. Yet many staff still lack the confidence, critical understanding, or practical skills to engage with AI productively in their roles. The AI Literacy Webinar Series introduces key concepts, workplace applications, ethical considerations, and future-facing questions surrounding AI in higher education. The series focuses on building capability rather than technical expertise and is suitable for staff across professional services, academic leadership, governance, and management.
Format and Approach
Delivered online across five themed webinars, the series moves from foundational understanding through to practical application and institutional strategy. Sessions blend accessible explanations, live demonstrations, short activities, and guided reflection. Participants will gain clarity on what AI is (and is not), how it is being used in higher education, and what this means for their day-to-day work, future responsibilities, and professional judgement. Each webinar stands alone but is designed to build progressively, supporting delegates to move from awareness to confidence and applied critical literacy.
Who Should Attend?
The series is suitable for staff across higher education who are:
- Seeking to build foundational understanding of AI
- Looking for practical, realistic examples of workplace use
- Involved in decision-making, governance, leadership, or policy
- Curious about responsible adoption, risk, or future strategy
Upcoming Webinars
The AI Literacy Webinar Series takes place online, via Microsoft Teams. There are five webinars in the series, taking place from 26 February to 21 May 2026:
26 February: Understanding AI and Its Place in Higher Education
This introductory webinar demystifies artificial intelligence, generative AI, and machine learning, placing them in real higher education contexts such as admissions, assessment, learning systems, and organisational tools. It cuts through hype, misconceptions, and over claims while helping you to participate more confidently in institutional conversations about AI, data, and digital change.
19 March: Working with AI – Tools, Prompts, and Productivity
A practical session exploring how to use AI tools such as ChatGPT and Microsoft Copilot for authentic workplace tasks including drafting, summarising, structuring documents, and supporting problem-solving. You will learn prompting techniques, how to refine outputs, and how to verify and sense-check results responsibly.
16 April: Data, Bias, and Decision-Making
Artificial intelligence systems are shaped by the data that feeds them. This webinar examines how data quality, representativeness, and bias influence AI-assisted insights in areas such as student success, workforce planning, and policy. You will strengthen your ability to challenge and interpret data-driven recommendations and decisions in institutional contexts.
30 April: Ethics, Policy, and the Future of AI in HE
As AI adoption increases, institutions must consider how AI should be used responsibly and lawfully. This session explores ethical frameworks, regulatory developments, governance responsibilities, and the future implications of AI for institutional strategy and professional practice.
21 May: From Question to Use Case – Applying AI in Higher Education
An interactive and exploratory session that supports delegates to apply AI literacy to real workplace scenarios. You will consider when AI can add value, when other approaches are preferable, and how to make informed decisions that balance feasibility, risk, and professional judgement.
For more information and to book your place, please click on the webinar above to be taken directly to the booking page.
We look forward to welcoming you to the AI Literacy Webinar Series!
Meet Martha, Facilitator of the AI Literacy Webinar Series:
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.

