The People Thinking Most Seriously About AI & Evidence
Researchers, investors, and AI leaders discuss how we should measure what actually works.
Last week we asked a simple question.
Is the evidence keeping up with the adoption of AI in education?
The response surprised us.
Almost 500 people registered in the first few days.
Which tells us something…
A lot of people in education are thinking about the same tension right now.
AI tools are moving quickly.
But the standards for proving impact are still evolving.
So the next step in the conversation is this:
Who should help answer that question?
For this webinar, we brought together people who approach the problem from very different angles.
Researchers.
Investors.
System leaders.
AI product teams.
Each sees the AI efficacy question through a different lens.
• Meghan leads Overdeck Family Foundation’s work funding rigorous research and evidence-building in education
• She is a former MDRC researcher focused on evaluating large-scale education interventions
• Libby combines research and early-stage investing to identify AI tools that actually improve learning
• She is a former teacher advising investors, foundations, and governments on AI in education
• Rebecca is one of the world’s leading voices on education system transformation and student engagement
• She is an advisor to governments, international organizations, and education leaders
• Will works directly with universities adopting AI voice technology at scale
• He is focused on real-world implementation that improves accessibility and engagement
• Bibi designs randomized controlled trials to determine whether edtech actually improves learning
• She led a collaboration with Google DeepMind showing AI tutoring can match human tutors
What makes this conversation interesting is that these perspectives don’t always agree.
Researchers ask for rigorous proof.
Investors look for early signals.
Educators want solutions that work now.
Product teams are shipping updates every few weeks.
Which leads to a bigger question:
How do we evaluate efficacy when the technology is evolving this fast?
That’s what we’ll explore in this conversation.
Join us live or receive the recording Wednesday of the following week!
See you there,
Edtech Insiders
The real tension may be less about AI adoption and more about how we define evidence in education.
Tools evolve quickly, but the deeper question is whether they actually build human capability, thinking, judgment, collaboration, and problem solving.