Recognising AI bias and misinformation

About

In this session, participants examine how bias, and misinformation can arise in AI-generated content. The session focuses on understanding how AI bias occurs, exploring techniques for identifying bias and misinformation, and considering ways to respond to bias within educational contexts.

The curriculum is structured into three modules designed for teaching and learning staff. Module 1: Understanding AI in tertiary education for teaching and learning, Module 2: Essential AI skills for teaching and learning, and Module 3: Ethical and responsible use of AI for teaching and learning.

Who should attend

This session is aimed at teaching and learning staff who want to develop their understanding of ethical and responsible use of AI through critical evaluation. It is particularly relevant for those involved in curriculum design, assessment, or academic decision-making, and who are concerned with identifying bias, verifying AI-generated content, and supporting academic integrity.

What we cover

• How bias is introduced into AI systems
• Examples of AI bias and its impact
• Identifying bias and misinformation in in AI outputs
• Strategies for verifying AI-generated information
• Techniques to enhance critical thinking when engaging with AI

What to expect

• Understand how AI bias occurs and how it impacts content generation
• Explore techniques for identifying bias and misinformation in AI-generated outputs
• Consider approaches for addressing and responding to bias in educational contexts

Pricing and eligibility

• Jisc members - Free
• Non member, not-for-profit - £50.00 + VAT

This webinar is free to anyone from a Jisc member organisation (UK further education colleges, specialist colleges or higher education institutions). You will therefore need to register with your institution's email address.

Non member, not-for-profit organisations must register and pay to attend this session.