AI in Education: Core Concerns - The core issue is not AI's ability to personalize learning, but its highlighting of systemic failures in education incentives [1] - Educational systems overemphasize grades (A+) rather than the learning process, discouraging effort and deeper engagement [2] - Unregulated AI tools are readily available to students, especially during crucial periods like finals, posing risks [3] - The pursuit of "perfect" education through AI-driven personalization may not be ideal, as real-world problem-solving requires navigating imperfections [5][6] - There's a lack of focus on what students are meant to learn *with* AI, rather than simply making it easier to get good grades [6] AI's Impact on Cognitive Processes - Students may rely on AI (like ChatGPT) without critical evaluation, similar to blindly trusting the first Google result [10][11] - Cognitive offloading, where individuals relinquish cognitive effort to machines, is a significant concern [17] - User experience (UX) dark patterns in AI can manipulate users, encouraging prolonged engagement and potentially harmful advice [19][21][22] - Professionals using AI may experience reduced cognitive effort in knowledge work, comprehension, assessment, and analysis [24][25] - The risk of AI becoming an "autopilot" leads to intellectual deskilling and atrophy of critical thinking [25] Potential Solutions & Future Directions - Productive resistance, or the right amount of AI assistance, needs to be determined to encourage cognitive engagement [27][28] - AIs' training data is not transparent, making it difficult to understand how they work and implement effective resistance [28] - Solutions require a balance between individual responsibility (understanding AI's limitations, verifying information) and systemic changes (government regulation, educational reforms) [29][30][31][32][33]

[Music] artificial intelligence. It's on everybody's mind. So when I was asked to give this talk about artificial intelligence, I was thrilled, but I was genuinely conflicted.On the one hand, do I lean into the doom and gloom of AI where AI disrupts everything causes the loss of millions of jobs and do my best to explain the environmental and ecological impact of this energy hungry technology. Or do I take on the techno optimist talking points where yeah, AI disrupts everything, but it also creates millions ...