AI in Medical Training: What's the Real Deal?

Generative AI, like ChatGPT, is making waves in medical education. But most studies just scratch the surface. They talk about how well AI performs or the risks it poses, like giving wrong info. However, these issues aren't just random problems. They're part of bigger conflicts that pop up when new tech enters learning spaces.

The Need for a Solid Theory

To really understand what's going on, we need a solid theory. This theory should help us analyze these conflicts. Right now, most reports just describe what's happening. They don't dig deep into why these issues exist.

Beyond the Tech: The Bigger Picture

When AI steps into medical training, it's not just about the tech itself. It's about how the tech fits into the whole learning environment. This includes:

• Teachers
• Students
• The way things are usually done

All these factors create tensions. And these tensions can affect how well AI works in education.

The Solution: A Systemic Approach

So, what's the solution? We need to look at the bigger picture. We need to understand the system as a whole. Only then can we truly see how AI fits into medical education. And only then can we address the real issues.