What does ethical AI look like when millions of children are logging on every school day? And what should an AI tutor do when a student tells it something it was never designed to hear?
In this episode, I speak with Dr Stephen Hodges, CEO of Efekta Education, the global AI education company. Stephen trained in computer science before spending two decades in education, and through Efekta he has brought AI tutoring into classrooms across Latin America and East Africa, reaching millions of students learning English as a second language. His largest deployment, in São Paulo State in Brazil, serves around three and a half million children in a system where most English teachers are not themselves qualified in the subject.
Stephen argues that at this scale, almost every product decision is an ethical one. He sets out the three things he sees as central to responsible deployment: localising content to each country’s curriculum and culture, training teachers to use the system well, and working with governments on data sovereignty. We talk about some of the hardest calls Efekta has had to test, including what happens when a child discloses something serious to an AI tutor, and how to judge when a tutor should step in and when a student should be left to struggle. He explains why major updates only roll out at the start of each academic year, and why data governance should be set at the highest common denominator rather than the lowest legal standard.
We also discuss what policymakers keep getting wrong. Stephen draws a sharp line between an AI tool and an AI solution, warning that handing students answer bots amounts to state-sponsored cheating. He argues that bringing AI into schools is a change programme rather than a software release, and that governments adopting ten or twelve platforms without rethinking the school day are setting themselves up to fail. Throughout, he holds to one position: the teacher stays at the centre, and AI is there to solve the problems they actually face.
Essential listening for anyone working on AI in schools, education policy, or the question of who benefits when edtech arrives at scale.
AI Ethics Now
Exploring the ethical dilemmas of AI in Higher Education and beyond.
A University of Warwick IATL Podcast
This podcast series was developed by Dr Tom Ritchie, lead of The AI Revolution: Ethics, Technology, and Society at the University of Warwick and Elon University. The module explores the history, current state, and potential futures of artificial intelligence, examining its profound impact on society, individuals, and the very definition of 'humanness.'
This podcast was initially designed to provide a deeper dive into the key themes explored each week in class. We want to share the discussions we have had to help offer a broader, interdisciplinary perspective on the ethical and societal implications of artificial intelligence to a wider audience.
Join each fortnight for new critical conversations on AI Ethics with local, national, and international experts.
We will discuss:
- Ethical Dimensions of AI: Fairness, bias, transparency, and accountability
- Societal Implications: How AI is transforming industries, economies, and our understanding of humanity
- The Future of AI: Potential benefits, risks, and shaping a future where AI serves humanity
If you want to join the podcast as a guest, contact Tom.Ritchie@warwick.ac.uk
