Our collaborative webinar on AI and the Future of Education is approaching fast, and I’ve been asked to speak for a couple of minutes on the “dilemmas” aspect of UNESCO’s call. As I prepare my thoughts, I want to share the key tensions I’ll be exploring and how my cognitive amplifier framework addresses them.
During the discussion, I’m hoping to frame these dilemmas as interconnected challenges that the cognitive amplifier approach helps resolve. Rather than choosing between human and machine intelligence, we can embrace a more nuanced relationship where AI serves to develop more fully human capacities.
The key insight I want to leave the audience with: AI in education isn ‘t about finding the right tool. It’s about asking the right questions about human flourishing and using AI to pursue those answers.
Disruptions, Dilemmas, and Directions
UNESCO’s framework for this examination of AI is organized around three interrelated themes: Disruptions , Dilemmas , and Directions. These are not just topical categories, they reflect deeper tensions that shape how we understand the role of AI in the future of education. Each invites us to ask not just what is happening , but what is at stake.
Disruptions: What AI Is Doing to Education
The first tension is descriptive: AI is already reshaping the educational landscape, sometimes in visible ways (e.g., ChatGPT writing essays), and sometimes beneath the surface (e.g., algorithmic personalization, data analytics). The risk here is technological determinism : the idea that AI is an unstoppable force we must simply adapt to.
🔍 AI Lens : The disruption is real, but what matters is how we frame it. Are we letting AI set the agenda, or are we proactively shaping its role in the service of more human-centered goals?
Dilemmas: The Tensions We Must Navigate
This is the heart of my contribution. AI introduces paradoxes that resist simple resolution: enhancement vs. replacement, automation vs. agency, efficiency vs. meaning. These aren’t just technical challenges—they’re philosophical, pedagogical, and ethical.
🔍 AI Lens : Many current debates either embrace AI as a savior or reject it as a threat. But both responses oversimplify. The dilemmas demand a third way, which I frame as the cognitive amplifier approach, where AI augments rather than displaces human learning.
Directions: What Futures We Choose to Build
Finally, UNESCO calls us to imagine paths forward. But this isn’t just about forecasting trends, it’s about choosing educational futures that reflect our values. The tension here is between prediction and intention.
🔍 AI Lens : The direction AI takes in education isn’t inevitable. It will depend on who gets to design it, who gets to use it, and what goals we prioritize. Do we want AI to optimize standardized outcomes, or support a more just, imaginative, and inclusive vision of learning?
Dwelling in the Dilemmas
I’ve written and spoken extensively about many of these themes. How AI is reshaping educational landscapes, and what kinds of futures we might imagine and build in response. These are areas I care deeply about and will continue exploring. But for this particular UNESCO call, I’m embracing both an opportunity and a constraint: to focus my attention squarely on the dilemmas —the tensions, paradoxes, and gray areas that don’t yield easy answers.
While I could speak to the disruptions AI has already brought, or outline directions for where we might go next, I’ve chosen to sit in the middle space, to mind the gap between the two. This is where I believe the real work lies. Naming the tensions honestly, holding them with care, and using them to sharpen not just our strategies, but our questions.
Three Core Dilemmas I’ll Address
1. The Enhancement vs. Replacement Dilemma
We’re trapped between two false choices: either AI will replace human intelligence in education, or we must resist it entirely. This binary thinking prevents us from seeing AI’s potential as a cognitive amplifier, a tool that extends and enriches uniquely human capacities rather than competing with them.
My point : The cognitive amplifier approach dissolves this false dilemma by positioning AI as both a mirror (reflecting our thought processes) and a magnifier (expanding our cognitive reach).
2. The Measurement Paradox
For decades, we’ve optimized education around skills that are easily measured: memorization, pattern recognition, and algorithmic problem-solving. Ironically, these are exactly the areas where AI now excels. This creates a paradox: if we continue measuring educational success by what machines do best, we make human intelligence appear obsolete.
My point : We need to flip this relationship. Instead of competing with AI in these areas, we should leverage AI’s strengths to free us to cultivate distinctly human capacities like moral imagination, contextual judgment, and authentic meaning-making.
3. The Agency Dilemma
Current AI tools often turn students into passive consumers rather than active, critical thinkers. They can generate essays, solve problems, and complete assignments with minimal cognitive engagement. This convenience may actually diminish rather than amplify intellectual capabilities.
My point : My four pillars (critical co-creation, ambiguity navigation, ethical prototyping, metacognitive mentoring) specifically address this by positioning learners as evaluators, collaborators, and creators, not just users.
Beyond the Webinar: What Comes Next
Behind all the technical developments and pedagogical possibilities lies a deeper dilemma, a question of values and authority. Who gets to decide what AI is for in education? What counts as learning, as intelligence, as progress? These are not engineering problems. They are human ones, requiring ethical reasoning, cultural insight, ecological awareness, and collective care. AI can support these capacities, but it cannot substitute for them. And that’s why the classroom must be more than a site of adoption. It must be a space of negotiation , where educators, students, and communities actively shape how these tools are used and to what ends.
This webinar is just one moment in a much larger conversation. One that we desperately need to keep having. We must talk not only about personalization and productivity, but also about agency , power , and environmental impact. We need more spaces, within and beyond webinars, where we can name tensions honestly, surface hidden assumptions, and imagine alternative futures together.
I’ll continue writing and posting about these themes in the weeks ahead, including a deeper dive into what I’m calling “the violin dilemma.” A reflection on why Doug Engelbart’s vision of cognitive augmentation never fully took root, and what it might mean to recover that vision in the age of AI.
Let’s keep the conversation going.
What dilemmas are you seeing in your own context? How are you navigating the tensions between AI convenience and deeper learning?