Transcript

My relationship with AI over the last year has changed significantly. So for those of you who haven't been here before, about a year ago I was laid off from a job where I was doing enterprise architecture, highly involved in AI and at that point because I was working in more of a machine learning AI construct on the operational side. I was struggling. I was a little bit terrified of it. I felt like I just didn't really understand everything that's going on. It was moving so quickly. It was so hard to understand the technical components. Fast forward a year, I've made a hard pivot in my career, and now I'm the TA officer for a federal Consulting Group called MPF, which stands for Mission People's Future. And for us, the people is the most important part. We're Human First agency, and we are very. Interested in how we retain the skills that are inherently human, but how do we really approach the work that needs to be done when we have so much pressure, so much FOMO surrounding AI from the organizational side? And so for me, in that time that I was laid off, I spent a lot of time doing some soul searching. I had been for a very, very long time. And experiential learning designer, primarily in video games. And then I made this huge leap into operational AI and that was that was tough. So my relationship a year ago with AI was was tenuous, a little bit fearful at best. After I got laid off, I spent quite some time doing some soul searching and thinking about how do I put these two worlds together. I have all of this knowledge and history focusing on learning and now I have some pretty great hands on experience understanding how AI can be used. How do I bridge that gap? And for me, it was really the ability to take a look at some of the AI architecture that we have now, particularly Gen. AI, and think about how that is going to change the landscape of how we learn, of what we learn, of why we learn it. And start to focus in on the things that I think LED professionals are really great at, which is understanding humans. I think that, you know, no one understands cognitive. Experiences better than LND professionals. And I think that there's just this thin layer of phraseology, a verbiage of technology that stands between a typical L&D professional and an AI professional because AI was created and the only way we know how to create it, right, in homage to the human brain. And so when we think about how that homage fits into our mental framework of human learning, I think that there is an incredible opportunity to pivot. My relationship with AI these days is great, right? It is saving me a huge amount of time. I'm able to create demos and playable things from ideas that wouldn't have been possible without having an entire team of programmers before. I'm able to write more fluently and accurately, not because I'm using AI to do my writing, but because I'm using AI as a thought partner. I'm using AI to critique my writing. I'm using AI to help me find. Related articles And then I'm synthesizing those with what I already think, but I'd love to hear how you're released. Ship with AI has evolved over the past year, and I can't wait for a year from now to hear how that has continued to change because I think the greatest limitation for AI right now is our own human creativity. And I can't wait to see what we do with it.