Podcast: Victoria Hedlund on AI bias in education and what teachers need to know
Summary
This podcast episode features Victoria Hedlund (The AI Bias Girl), founder of GenEd Labs and former physics teacher, discussing how AI systems in education can introduce hidden bias based on gender, names, backgrounds, and other personal characteristics. The conversation covers practical examples of biased AI outputs in explanations, career guidance, and assessment, along with AI tutors, safeguarding concerns, and the need for human oversight. Hedlund emphasizes that small biases can compound over time, affecting student attainment, wellbeing, and opportunity, and urges educators to adopt an experimental mindset when using generative AI.
Source
bskyPodcast: Victoria Hedlund on AI bias in education and what teachers need to knowaipodcast.educationKey quotes
· 3 pulledAI systems are increasingly being used in education, but what happens when those systems introduce hidden bias into learning, feedback, assessment and career advice?
From explanations of how a light bulb works to career guidance and assessment, we explore how seemingly small biases can compound over time and influence attainment, wellbeing and opportunity.
This is a thought-provoking discussion about fairness, agency and what every teacher needs to know as AI becomes increasingly embedded in education.
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