Kerry Bodine

And so one of the things that Carnegie Mellon has found is that they tend to come up with solutions that require a lot of technical accuracy and therefore require a lot of effort to develop and therefore have a lot of risk involved if they don't operate in the way that we've envisioned when we're putting up sticky notes on a wall.

And so one of the things that Carnegie Mellon has found is that they tend to come up with solutions that require a lot of technical accuracy and therefore require a lot of effort to develop and therefore have a lot of risk involved if they don't operate in the way that we've envisioned when we're putting up sticky notes on a wall.

And so one of the things that Carnegie Mellon has found is that they tend to come up with solutions that require a lot of technical accuracy and therefore require a lot of effort to develop and therefore have a lot of risk involved if they don't operate in the way that we've envisioned when we're putting up sticky notes on a wall.

So what the researchers at CMU have found is that rather than just going into a brainstorming process, you know, kind of with a blank slate, it's much more effective to understand not the technology behind AI, but the functional capabilities that AI has.

So what the researchers at CMU have found is that rather than just going into a brainstorming process, you know, kind of with a blank slate, it's much more effective to understand not the technology behind AI, but the functional capabilities that AI has.

So what the researchers at CMU have found is that rather than just going into a brainstorming process, you know, kind of with a blank slate, it's much more effective to understand not the technology behind AI, but the functional capabilities that AI has.

And I really love this because, you know, the functional capability that we've all been gaga over for the past couple of years has been generate. Generating text, generating images, generating code, whatever it is. And now, of course, with agentic AI, we're focused on this capability of act. But those are just two of... eight very broad capabilities that we go into in the class.

And I really love this because, you know, the functional capability that we've all been gaga over for the past couple of years has been generate. Generating text, generating images, generating code, whatever it is. And now, of course, with agentic AI, we're focused on this capability of act. But those are just two of... eight very broad capabilities that we go into in the class.

And I really love this because, you know, the functional capability that we've all been gaga over for the past couple of years has been generate. Generating text, generating images, generating code, whatever it is. And now, of course, with agentic AI, we're focused on this capability of act. But those are just two of... eight very broad capabilities that we go into in the class.

And these examples of these eight great capabilities, as we like to call them, they're all around us. They're sitting on your phone. You use them every single day, but you don't think of them as AI because once a technology moves from magical to I just use it every single day, we don't think of it as that technology anymore.

And these examples of these eight great capabilities, as we like to call them, they're all around us. They're sitting on your phone. You use them every single day, but you don't think of them as AI because once a technology moves from magical to I just use it every single day, we don't think of it as that technology anymore.

And these examples of these eight great capabilities, as we like to call them, they're all around us. They're sitting on your phone. You use them every single day, but you don't think of them as AI because once a technology moves from magical to I just use it every single day, we don't think of it as that technology anymore.

We don't think about Type Ahead as being AI, but it is, and we use it every single day, all of us. So that's one of the things that we really focus on in the class is getting folks who are not technical We do give them some background on, hey, here are the different types of AI models. And here are examples of each. And here's the type of data that each use and the data requirements.

We don't think about Type Ahead as being AI, but it is, and we use it every single day, all of us. So that's one of the things that we really focus on in the class is getting folks who are not technical We do give them some background on, hey, here are the different types of AI models. And here are examples of each. And here's the type of data that each use and the data requirements.

We don't think about Type Ahead as being AI, but it is, and we use it every single day, all of us. So that's one of the things that we really focus on in the class is getting folks who are not technical We do give them some background on, hey, here are the different types of AI models. And here are examples of each. And here's the type of data that each use and the data requirements.

We give them that basis. But then we're like, you know what? You can forget about all of that and really just focus on what the AI does. And then use that as a platform for your brainstorming.

We give them that basis. But then we're like, you know what? You can forget about all of that and really just focus on what the AI does. And then use that as a platform for your brainstorming.

We give them that basis. But then we're like, you know what? You can forget about all of that and really just focus on what the AI does. And then use that as a platform for your brainstorming.

Oh, excellent. Excellent. Yeah, you know, I have been teaching human practicing teaching leading human centered design for decades. And it really hasn't been until AI came on the scene that our traditional methods, we really didn't have to change them all that much. a little bit here and there. But the non-deterministic nature of AI, it just means we have to start in a different place.

Oh, excellent. Excellent. Yeah, you know, I have been teaching human practicing teaching leading human centered design for decades. And it really hasn't been until AI came on the scene that our traditional methods, we really didn't have to change them all that much. a little bit here and there. But the non-deterministic nature of AI, it just means we have to start in a different place.