Artificial Intelligence

As educators continue to grapple with students using AI for assignments, we need to move beyond the idea that showing the original prompt is useful

If you’re panicking over how to survive in world where every student has access to one of the most powerful AI’s ever made, I have a plan …

As universities and companies scramble to bring agentic AI to learning, I was intrigued by CodeSignal’s approach to using AI in a new course inspired by the book Future Rising

Will AI ever be able to transcend the “knowledge closure boundary” — the conceptual barrier between what’s known (or what can be inferred from what’s known and understood) and what is not — and make truly novel and transformative discoveries?

This morning the White House unveiled its new AI Action Plan for the US. There’s a lot here to digest, but I did want to provide my first take on the plan – and what it might mean moving forward.

XENOPS: An AI prompt that assesses an AI model’s “moral character.

Motive, means, and opportunity: It’s a common mantra in solving crimes. But it’s also a useful framework for approaching the potential risks of being manipulated by advanced AI systems.

An AI “vibe coded” website that explores technology-driven “moral panics” over the ages

Friction Required: How will a world transformed by emerging technologies like AI reshape the world? Sean, Andrew and special guest Punya Mishra cut through the hype to reveal the creative tension, hidden risks, and big-picture futures for AI-powered, human-centered education. How can the power of AI be harnessed without losing the soul of learning?

As AI agents become more prevalent and powerful, a new paper outlines a framework for better-understanding how to govern and regulate them. From the Future of Being Human Substack.