AI Bias & Responsible Use
Explore the ethical, cultural, and practical challenges of AI including bias, hallucinations, misinformation, accessibility, and responsible workplace implementation.
About this workshop
AI systems are not neutral. They reflect the data, assumptions, and structures they are trained on. This workshop explores the practical realities of AI bias, misinformation, hallucinations, and ethical risk in workplace and educational settings. Participants will examine how AI systems can unintentionally reinforce stereotypes, exclude perspectives, or generate inaccurate information. The session also explores responsible AI use in government, education, NGOs, and organisational environments, with discussion around human oversight, privacy, inclusion, accessibility, and cultural considerations. Rather than fear-based messaging or hype, this workshop focuses on practical AI literacy and thoughtful implementation.
What you’ll learn
- How AI bias happens
- How to critically evaluate AI-generated content
- Common ethical risks in workplace AI use
- Strategies for responsible implementation
- Why human judgement still matters
Who this is for
Workshop agenda
- Understanding how AI systems are trained
- What bias looks like in AI outputs
- Hallucinations, misinformation, and confidence errors
- Accessibility and representation challenges
- Privacy, risk, and workplace considerations
- Human oversight and responsible implementation
Requirements
- No technical experience required
- Suitable for educators, managers, and workplace teams
Meet your facilitator
Cheryl Tyler
Cheryl Tyler works in learning design and capability development, with a focus on practical, ethical, and accessible approaches to digital learning and emerging technologies.
We’ll send workshop dates and registration details once confirmed.