Episode 235: understanding AI - part 4 - AI as a co-worker, tutor and coach
Episode 235: understanding AI - part 4 - AI as a co-worker, tutor and coach
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Understanding AI - Part 4 - AI as a co-worker, tutor and coach -Â episode 235
Understanding AI - Part 4 - AI as a co-worker, tutor and coach -Â episode 235
“Will AI take over my job?” In part 4 of the Understanding Artificial Intelligence series we explore AI as a Co-worker, Tutor and Coach. All ideas coming from the book by Ethan Mollick, Co-Intelligence - Living and working with AI. I share how Mollick makes the point that our jobs are made up of different tasks and that AI might be able to help us with the more tedious parts of our tasks and then we can do more of the creative tasks or tasks that we enjoy doing. I share two different methods that Ethan Mollick mentions in his book regarding AI as a co-worker, the centaur or the cyborg. Then I share how AI might help us with education in a more tutoring role. Mollick predicts that AI might be able to take over some of the passive roles of education while our teachers are involved in engaging students actively in the classroom. And lastly how the LLMs might be able to assist us in our expertise training as a coach. Adding an additional layer of feedback as we go from formal education to on the job training. Â
Show Notes: Hi Friends! I hope you enjoyed listening to this episode. Below are all the references.Â
Quote From the Episode
Quote From the Episode
“AI is a tool… an intern… someone you can work with to bring your work to fruition. But you can’t fall asleep at the wheel—you still have to stay engaged.”
Key Topics
Key Topics
Follow-up on Camille’s AI-designed landscaping project
AI’s potential impact on work: tasks vs. whole jobs
The “centaur” vs. “cyborg” approaches to collaborating with AI
Why AI can level the playing field at work
Using personas in ChatGPT to refine writing and ideas
How large language models can assist with editing, brainstorming, and productivity
AI as a tutor: rethinking classrooms, hybrid learning, and prompt skills
Comparisons to calculators entering education
AI as a coach: faster feedback loops and deliberate practice
Camille’s diving-coach analogy and how technology changed her athletes' learning
The importance of staying the “human in the loop”
A preview of next week’s episode on AI and spiritual life
Highlighted Concepts From Co-Intelligence
Highlighted Concepts From Co-Intelligence
Centaur Method: Human and AI tasks are divided; each does what it’s best at.
Cyborg Method: Human and AI work interactively, going back and forth to create something better than either could alone.
Deliberate Practice With AI: Frequent, targeted feedback may accelerate expertise.
Educational Shift: Active learning at school, content absorption at home.
Sources
Sources
Sources & Mentions
Sources & Mentions
Co-Intelligence: Living and Working with AI — Ethan Mollick
Camille’s landscaping project (Episode 234)
Diving-coaching experience and TiVo delay technology analogy
Elder David A. Bednar’s remarks on AI (preview of next episode)
Transcript
Transcript
I am Camille Johnson, and this is Finding the Floor.
Stories and reflections of midlife motherhood, family, and finding meaning in it all.
Join me as I share a little piece of my life and figure out what I want to be when I grow up.
Hey friends, welcome to Finding the Four.
And today we're going to have another AI series.
This one I'm calling AI is co-worker, tutor, and coach.
familiar with AI, how I can use it, how it can be helpful, how it may not be helpful.
So last Saturday, I was totally able to put that all into fruition.
It was a beautiful day, probably one of the last few like super nice days in October.
And I was able to find most of the plants that ChatGPT suggested that I get for the project.
And what was kind of nice is that a couple of the sizes of the plants that Chat suggested that I buy
didn't come in the one gallon variety, but they came in the two gallon variety.
And so chat told me to keep them together until maybe the spring.
kind of reworked the design a little bit for the plants and the sizes that I was able to find.
And I was able to put it all in like 2 hours.
That is like the blessing of...
So you're not changing any like hardscape.
You dig stuff up and put new stuff in.
So hopefully the stuff I planted, which all of which said deers don't like to eat.
So that has been kind of fun to get that done.
my time doing all that more out.
All those things kind of helping you.
So there's always this question that, you know, is AI just going to take over all the jobs?
Like what is going to happen with my job in the future?
And I like how Ethan Mollick said that all of our jobs are filled with different tasks that we do.
And so yes, maybe certain tasks can be accomplished by AI, but maybe that's a good thing.
and then we can then work on the things we love about our job.
the large language models are really able to do a lot.
And so they did a study with all these different types of tasks that are involved in different jobs.
And one part of the study people were able to use
AI or large language models and another group were not using those models.
And that's just something that you need to be aware of.
So leaving it to maybe summarize something that you have to read or
And many times it'll help you even be better at your job.
So in some ways it might be a good thing.
Similar to what a centaur looks like.
You have the human part of the centaur and the horse.
And then he says there's the cyborg method where you're working with AI as a team, but you're not
let's say just letting AI take over.
It's that collaborative back and forth.
You're using it to your advantage with its strengths so it can help you with your weaknesses.
And he talked about how each persona had different expertise
Or he talked about in his classes, he would have people get certain feedback from
And then when it comes back, it's cleaned up a little bit better.
So the cyborg is where you've invited AI to the table and you're
working with AI back and forth to bring whatever you're working with to fruition.
A lot of the systems that we have in place have been put there for like the past 100 years.
So a lot of technologies have affected like the manual workers.
He suggested the instance of when there were so many women who worked as telephone workers.
You know, they were connecting people in the board.
to a machine, those jobs disappeared.
And many of the duties like manual labor, like
AI can't really do that until we get maybe machines to do that better, but he's saying that.
And they're going to benefit the most if they use AI in this collaborative way.
AI is going to be doing in the short run and underestimate it in the long run.
Right now we're in this sort of this
place where we're not sure how to use it.
or what is happening in the classrooms with ChatGPT or other large language models.
They were supposed to write one first and then have Chat do another and then evaluate Chat's essay.
So I thought that was interesting.
it will start flipping what we decide we do in the classroom from now on.
He reminds us of one of the principles he says is to be the human in the loop.
So I thought that was kind of a cool idea.
on your own schedule so you could work at your own pace.
And then there'd be a day at school and it alternated.
And she just really liked that.
Okay, the next part of AI is as a coach.
And how we get feedback is going to be changing.
And one particular architect gets a once a week feedback from his mentor.
And another person is working with AI and gets feedback during each drawing that gets made.
And so he starts to understand, oh, what works better.
And so he's getting more regular feedback.
He relates that to, you know, the whole idea of the 10,000 hours of
And obviously you'd probably need both and it would be even ideal, right?
So this sort of reminds me of what happened when I was coaching diving.
So I coached diving for about 9 seasons from about 2006.
And in the beginning, gosh, way back, like that's almost 20 years ago.
It was always helpful to watch yourself dive.
Like you would kind of be able to see what I would be telling you that you were doing.
Because sometimes it's hard to believe that what I'm saying is right.
I don't know if that makes it any
easier to say, but sometimes it's easier to see when a camera is showing you how you're diving.
notice where you're coming out.
All those different cues, you can then see.
But then come into the world, TiVo.
I know we're going way back, but this really changed the way we could see ourselves diving.
setting, like it would record it and delay it like let's say a minute, 30 seconds to a minute.
So then they would look at the dive and then I would also give them feedback.
And I can't even tell you how different that was because
they saw it right away, themselves doing it, and then they could go back and try to fix it.
And then you can see how you can work on
Or you can see how, wow, that was amazing.
Did you see how you made no splash going in?
You know, all those kind of good things and the bad, you can see all of it as it happens.
So I kind of like this kind of feedback as a coach and how that could potentially be so helpful.
critiques, you can get positive feedback, you can get a combination of both.
just because they aren't stuck in our own heads.
So these last three things, practically speaking, I haven't really used yet.
I've more used a creative approach.
I guess I have been using it as a way to format stuff for my podcast.
If I have chat, do a couple of those things, then those things can get done.
I do love thinking about the idea of maybe it changing the way education
happens because I do think there needs to be a change.
We've been kind of doing the same thing for 100 years.
And even in college, like obviously I haven't been to college in
now almost 30 years, which is crazy.
But students don't learn as well just from a lecture.
We want more curiosity and creativity and not just regurgitating and memorization of information.
So that's it for today, and I will talk to you next week.
All right, thanks for listening.
I hope you enjoyed today's episode.
Special thanks to Seth Johnson for creating and performing the theme music.
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