Andreas Welsch

Or are they just getting a degree and they're actually not as knowledgeable as you would want them to be or need them to be in a business?

And, you know, certainly what applies to early in career individuals applies all the way up the chain, too, as that risk increases.

So long story short.

To your point, critical thinking is really, really important as well.

And it's a matter of how do you actually train this now and how can you train for critical thinking and evaluate is something good, bad, or just okay?

So I usually like to think about it in three dimensions.

One is what's a basic level, a foundational level of awareness of AI, generative AI, agentic AI, what have you.

How does this work?

The most important things to me are the technology is great, very powerful and mighty, but it's not infallible.

We've seen this time and time again.

Also, you know, there's bias in the data that these models are trained with that trickles down to the results, to the outputs that you generate.

So we need to check for those biases as well.

And it's not just gender or ethnic biases.

It can also be about professions and many other assumptions, right?

It's probably as biased as we as a society and even as individual people are with the worldviews and the...

data that encodes our worldviews.

So foundational and understanding.

Second one to me is the security and access that we already talked about.

What do these systems really need to have access to?

And what are they allowed to do with the information?