Provade just att skapa en podcast med två fiktiva personer som diskuterar mina föreläsningar under 2023 och 2024? Källan är mina egna anteckningar om mina föreläsningar plus AI-genererat material. Det blev en podcast om mina egna tankar på drygt 11 min och den tog ca 3 minuter att generera. Totalt lade jag ner ca 5 minuter på att fixa detta med hjälp av Google NotebookLM.
Resultatet blev skrämmande bra och skrämmande korrekt. Sedan är det en udda känsla att lyssna på två personer som pratar om mitt eget arbete.
Än så länge kan jag inte kontrollera så mycket och det fungerar bara på engelska.
Det här är viktigt eftersom det ger oss nya möjligheter att skapa material som andra kan lära av. Skriv ner dina anteckningar och be verktyget skapa en podcast som alla kan lyssna på.
Här är podcasten och nedan är en transkribering gjord med Klang.ai.
Wow. Okay, so you weren’t kidding about a deep dive, huh? Look at all this stuff about Professor Parnes. I mean, conferences and presentations, business meetings, even notes on a what is this, a theater performance?
It’s pretty amazing, right? Shows how much interest there is in AI across, well, across pretty much every sector, I’d say.
Definitely seems like everyone wants to hear what he has to say. But for those of us who haven’t been following his every move, who is Professor Parnes and what’s got you so well obsessed?
You know, Professor Parnes has really become a leading voice in AI, especially in making it understandable, you know, especially its role in education and how work is changing.
Okay, so like translating all the tech jargon for us regular folks.
Exactly. He’s got a real talent for taking these really complex ideas and making them practical, something anyone can grasp, really.
Got it. So no PhD required. That’s good news for me. So from what I’m seeing in your notes, one of his big things is generative AI, specifically in education.
Oh, absolutely. It comes up all the time. It’s clear that he sees huge potential for generative AI to really personalize the whole learning experience.
Okay, so like how? Give me an example.
Well, imagine, for instance, a program that basically makes a custom lesson plan just for you, you know, based on your strengths and weaknesses, what you’re interested in, all that.
That’s what I call a tailored education. Personalized learning. But hold on, I’m also seeing some stuff here about like help versus cheat problem. How does that fit in?
Yeah, that’s the million dollar question when it comes to AI in the classroom, right?
Professor Parnes definitely acknowledges the potential for like a revolution in how we learn. But we’ve got to figure out the ethical side of things, too.
Yeah, that makes sense.
Like, where’s the line? At what point do these AI tools cross over from helping you learn to just straight up cheating? It’s like educators are really grappling with this right now.
It’s true. It reminds me of when calculators first came out. You know, people freaked out about that, too.
Totally. It’s like we love a good shortcut, but it’s got to be fair.
Exactly.
And that kind of leads into another big theme that Professor Parnes keeps coming back to how work is going to change, like the future of work. He’s saying that AI isn’t just going to automate stuff. It’s going to completely change what skills people need for tons of jobs.
So less about robots stealing our jobs, more about humans and AI like working together in new ways. Right.
Exactly. And what’s really cool is that he connects these ideas to specific professions. Like in one talk he gave, he talked about how, say, radiologists, they’re going to have to go way beyond just looking at X-rays because AI can already do that. He said they’ll need to become experts in understanding all the data and insights the AI is giving them.
Oh, interesting. So almost like medical detectives, he’s definitely painting a more, how do I put it, a more nuanced picture than just saying certain jobs are going to disappear. It’s about how our roles will have to adapt.
Exactly. And he doesn’t just talk in general terms either. He gets into how it plays out in different places, like for different groups of people. For example, there’s this presentation he gave to school administrators in, let me see, Skavde kommun.
Skavde kommun. You know, you don’t often hear about the administrative side of AI in education. That’s interesting. What did he focus on there?
Well, he was talking about how AI could handle a lot of the administrative stuff that takes up so much time. You know, things like scheduling and budgeting, maybe even some parts of grading. His argument was that it would free up teachers to actually, you know, teach.
So instead of teachers drowning in paperwork, they get to focus on, well, actually working with students. Now that’s an application I can get behind. It’s like he’s pushing those administrators to think bigger. You know how AI can change the whole system, not just what happens in a single classroom. Speaking of challenges, it looks like Finnish educators over at Novia are facing a similar kind of dilemma, but from a different angle.
Yeah, that’s right. They’re really wrestling with this whole question of how you design assignments and tests when AI is so readily available.
Makes sense. It’s like, why memorize facts when you can just ask a computer, right?
Exactly. So Professor Parnes is encouraging them to think about ways to assess critical thinking and creativity and problem solving, all those skills that I can’t really replicate, at least not yet.
So it’s less about testing what they know and more about testing how well they can, like, use AI as a tool. It’s like they’re on the front lines of reinventing how we measure learning. But it’s not just the education world grappling with these questions. He even gave a presentation at, what is this, Stereo Sikademen? If my Swedish isn’t too rusty, I think that’s.
The Swedish Academy of Board Directors.
That’s right. So even CEOs and board members are trying to wrap their heads around AI.
Exactly. And get this, the title of his presentation was, Will AI Replace the Boardroom? I bet that got their attention.
Talk about a conversation starter. So he’s not afraid to, you know, stir the pot a little. What kind of reactions did he get from those business leaders?
Well, let’s just say it sparked some pretty lively debate. But one of his main points was that AI can be this incredibly powerful tool for making sense of data. You know, finding those hidden patterns, seeing trends before anyone else, even predicting what might happen in the future. And he really challenged them to think about how they could be using AI to improve their own decision making, you know, to be more strategic.
So instead of robots literally taking their jobs, it’s more about AI as like a secret weapon to make better decisions.
Right. And this idea of AI as a partner, something that helps us do our jobs better, that seems to be a big theme for him.
Yeah, definitely seeing that. Okay, so we’ve got educators flipping the script on assignments and CEOs rethinking the whole boardroom dynamic. But then you’ve also got this note about a theater performance, Norbot and Stetern. Now, that’s a bit of a jump. What on earth was Professor Parns doing presenting at a theater?
It just goes to show you how AI is popping up everywhere, even in the arts. And while we don’t have a ton of details from that particular presentation, it’s fun to think about the possibilities, right? Like, could AI write a play or maybe create these crazy cool special effects on stage?
It’s like AI is pushing the limits of what’s possible in every field imaginable. Okay, so we’ve covered a lot here from classrooms to boardrooms to the stage. Professor Parns clearly sees AI’s impact going way beyond just tech. But how does all of this connect back to the real world? You know, for someone listening to this, maybe even someone here in Luleå.
Well, his work with Luleå Business is really interesting in that sense. He did a whole bunch of workshops and talks specifically for businesses in the area.
Luleå Business. Hey, that’s my neck of the woods. Yeah. So what was he telling them? Was it the same old AI pep talk or did he get into the nitty gritty?
He actually went beyond the usual talking points. He really emphasized the unique possibilities and challenges that AI brings for businesses, especially in a place like Luleå.
So like hyper local AI strategies, that’s pretty cool.
Yeah, it was really interesting. Like he was pointing out how I could be used to analyze the local market there, you know, or optimize supply chains for businesses that are way out in more remote areas. He even talked about how you could use AI to personalize marketing campaigns in a smaller community.
So it’s about taking this super powerful technology and like tailoring it to a very specific place.
Yeah, exactly. It’s all about context, right? And what was really cool was that he actually had this perfect example. He was talking about how a forestry company, you know, right there in the area could use AI to look at satellite images.
Oh, wow.
To see what, well, they could monitor the health of the forests, you know, see if there are any problems or even predict forest fires. And they could use it to figure out the best times to harvest timber and all that.
That’s amazing. So we’re talking like really practical applications of this cutting edge stuff.
Absolutely. He’s showing people AI isn’t just some abstract thing. It’s a real tool they can use right now to solve problems they’re facing in their businesses.
I’m with you. Okay, one last thing I want to touch on. I’ve got a note here about a presentation to PostNord.
Ah, yes. PostNord. They’ve started using AI in their logistic stuff, right?
Yeah, that’s what I thought. So was this just another presentation where he’s like explaining what AI is and how it works?
Well, that’s what’s really interesting about this one. He knew he was talking to a group of PostNord software developers and their business development people. So he actually designed the whole thing to be interactive.
Ooh, interactive. Okay. So more like a workshop than a lecture.
Exactly. He had built in these tools like Mentimeter to get live feedback from the audience. Oh, cool. And he’d weave their questions and comments right into what he was talking about. He even had these little thought experiments. They called them PrimaQuestion, already planned out to get everyone talking and really digging into the issues.
That’s awesome. So he’s not just talking about AI. He’s showing people how to use it to teach and learn more effectively. You know, you were right. I’m starting to see why you find Professor Parn so fascinating. He really walks the walk.
He does. So we’ve covered a lot of ground here from like the future of classrooms to how CEOs make decisions. Even, you know, what’s happening in the theater world. Professor Parns definitely sees AI touching every part of our lives. But for someone listening to this right now as they’re, you know, starting a new semester or maybe about to dive into a new project, what does it all mean for them?
That’s the big question, right? Yeah. We’ve talked about all these amazing possibilities, but also some of the really tough questions AI brings up. So where do we even begin to make sense of it all?
Well, one thing that’s really stuck with me from all of Professor Parns work is that we can’t just wait and see what happens with AI. It’s not some far off thing anymore. It’s here now. And he really stresses that we’ve all got to take an active role in shaping how it’s used.
So no more sitting on the sidelines. We got to get involved.
Exactly. Whether it’s learning about the latest developments or talking about the ethical side of things, or even just like opening ourselves up to new ways of thinking and working.
So kind of like we’ve got to become lifelong learners constantly adapting alongside all this new technology.
Yes. And I think that’s something Professor Parns really embodies in how he teaches and presents. He’s always experimenting with new things, looking for different points of view, and he loves a good debate.
It’s like he’s saying that in the age of AI, our ability to adapt and learn new things might be the most important skill we have.
OK, before we wrap up this deep dive, any final thoughts? Maybe one of those prima questions Professor Parns is so fond of, something for our listeners to chew on as they go about their day.
Well, he talks a lot about AI personalizing education, right? But what if we took that even further? What if AI could personalize our whole learning journey, not just what we learn in school?
So instead of our current education system, it’s more like we all have our own custom learning paths based on our interests and goals and how we learn best.
Exactly. It really makes you wonder, in a world where AI can create these incredible personalized learning experiences for each of us, what role would we even need schools and universities to play? It’s a big question.
It really is. And a great question to leave everyone with. Hopefully this deep dive into Professor Parns’ work has given you a new way of thinking about AI and maybe inspired you to be a part of shaping its future.
Remember, it’s not destiny. We get to decide what the future of AI looks like.
