25 July 16:00-17:00 CET

Artificial intelligence is being heralded by many for its transformative potential in education, offering personalised learning experiences and more efficient school administration. But as AI use becomes more widespread, so do concerns about bias. Bias in AI algorithms can perpetuate inequalities, affecting student outcomes and reinforcing societal prejudices.

Addressing this AI bias requires a nuanced approach, including ethical guidelines, diverse datasets and rigorous testing.
In this webinar, we will discuss some of the ways that education systems can safeguard against the unintended consequences of AI and promote equitable educational practices.

Speakers include:

- Tiera Tanksley, Post Doctoral Fellow in Youth, Technology and Public Policy, UCLA
- Jeremy Roschelle, Executive Director of Learning Sciences Research at Digital Promise
- Stéphan Vincent-Lancrin, Senior Analyst and Deputy Head of Division at the OECD Directorate for Education and Skills

Moderated by Sasha Ramirez-Hughes, Communication Manager, Directorate for Education and Skills, OECD

You can visit our webpage to register or check out the recordings of previous events.