
Beyond Bias: Understanding Ethics and Fairness in AI
Audience: Staff interested in AI equity, ethics leads, SLT
Level: 🔵 Proficient (Innovate)
Format: Workshop (2 hours)
Type: Online (webinar, twilight), INSET, on-site, or bespoke
Description:
Unpacks how bias is built into AI tools and how this shapes educational content, decision-making and fairness. Includes mitigation strategies.
Tools:
ChatGPT, Gemini, image generators — used to demonstrate bias in outputs.
Associated Frameworks
- UNESCO – Competencies 3.2 & 4.1
- Ofsted 2025 (draft) – Digital equity and ethical leadership
- DfE AI Guidance – Bias and fairness as critical risk areas
- Teachers’ Standards – Equal treatment, safe learning environment
- CCT Principles – Professional ethics and responsibility
Tangible Impact
- Equips staff to identify and challenge bias in tools
- Supports ethical leadership and AI strategy
- Promotes fairness in curriculum and assessment design