This is a suggested list which well be developed as the terms progresses. ;ore info available via the Humlab webpage:
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Designing AI-Resilient Assessments:
Focuses on constructing assignments that evaluate critical thinking and oral defense, involving students in assessment criteria decisions 

AI for Accessibility:
Demonstrates generating alt-text, captions, and simplified text to ensure inclusive learning materials.

Data Analysis for Non-Coders:
Uses AI to clean datasets, identify patterns, and generate charts without writing code.

The AI Grant Writer:
Drafts literature reviews and formats citations to meet specific funding body requirements.

Advanced Language Pedagogy:
Moves beyond basic tools to evaluate AI use in language acquisition and project-based learning.

Building Custom Course Tutors:
Configures secure bots trained on lecture notes to answer student queries.

Visualising Complex Concepts:
Creates diagrams and visual aids for abstract theories using image generators.

Feedback at Scale:
Generates formative feedback on student drafts to better understand needs, focusing on structure rather than grading.

Ethical Literacy & Bias:
​Examines hallucinations and algorithmic bias, encouraging collaborative reflection on AI outputs.