Rewind: How AI is fueling an existential crisis in education

This section explores the profound questions and challenges artificial intelligence (AI) poses to the fundamental philosophy of education. It discusses how AI tools like chatbots are altering the way teachers and students interact with knowledge, raising concerns about authenticity, the purpose of learning, and the actual skills students develop. Teachers express uncertainty and frustration, questioning whether AI is a helpful aid or a disruptive force, and how educational systems might adapt to or resist these changes.

Interviewees include teachers with varying attitudes towards AI. Some see it as a useful tool to enhance learning and manage workloads, while others find it causes more problems, such as increased workload due to fixing AI-generated errors or ethical dilemmas. Examples are given of AI being misused for cheating, the limitations of AI in understanding context, and the importance of teacher autonomy in implementing these tools. The discussion emphasizes that AI's integration into education is uneven and often chaotic, reflecting broader systemic and policy issues.

This section features insights from Dr. Adam Dubet of McGill University, who discusses how children perceive AI and the technological frameworks they are familiar with. It addresses how AI differs from previous technological shifts, the risk of students over-relying on AI for skills like math or research, and the cognitive implications of using AI for critical thinking and memory. The conversation stresses that AI can reinforce poor practices if students and teachers are not equipped to evaluate and scrutinize AI outputs.

There is a focus on how schools and districts react to AI—ranging from outright bans to adoption as a resource, often with little guidance or consensus. The discussion highlights the disorganized, localized nature of policy-making, with practices varying widely based on community attitudes, resources, and leadership. Some administrators view AI as a cost-saving tool, others as a threat to educational integrity, resulting in a patchwork of approaches.

This section examines the moral and educational issues, such as the risk of students cheating, the devaluation of the learning process, and the dangers of overdependence on AI for skills traditionally learned through effort. Teachers discuss how to address these challenges—either by banning AI, integrating it into lessons thoughtfully, or focusing on teaching students to critically evaluate AI-generated content. The key concern is how to preserve authentic learning amid technological change.

The final theme reflects on how systemic pressures—such as high stakes testing, the emphasis on grades, and resource constraints—drive how AI is adopted and used in education. Teachers and administrators feel pressured to balance policy, resource limitations, and pedagogical integrity, often leading to a focus on end products rather than the learning process. The discussion underscores the need for broader reforms to align educational goals with the realities of AI.