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To get you started with AI, I have four guiding
principles that I like to start people with. The
first principle is always invite AI to the
table. Use it for everything you legally and
ethically can. And that's because we you don't
know what AI can do. And likely the creators
of the AI system you're using don't know what
it can do for you and your industry, your job,
your life. You have to use it to figure it
out. Ask it questions if about idea that
you have. Help it write a memo for you with
the permission of people in the room. Have it
record what's happening and give you feedback
on your performance. Summarize notes for you.
Write code. Analyze data. You won't know what
it's good or bad at until you use it. And you
might find some really surprising insights of
what it can do well. And you might find some
disappointments. That's part of the process.
So you have to use it to learn how it works.
My second principle is to be the human in
the loop. And this is an idea from control
systems that you should always have a human
involved in final decision-m I think that's
important. We have to decide where humans fit in
decision-m when we start letting AI do things.
But it's also a deeply personal principle because
AI actually does a lot of tasks quite well. And
there's a good chance that some of the tasks you
do for your job, the AI might already do better
than you. Part of what you want to think about
is what tasks do I actually want to do? A lot of
times what you want to do is actually focus on
what makes you human, what human task you like
the best and think about how do I give the stuff I
don't want to do to the AI to help me with? How do
I get support from AI rather than thinking about
it as a potential replacement or as a competitor?
And I think there's a deep set of questions we
need to think about about what do we actually
want to do with our lives? What do we actually
want to focus on? Where is our talent? And using
that talent, I think, is a very powerful way
of thinking about how an AI empowers us all.
My third principle is to treat AI like a person
and tell it what kind of person it is. Talk to it
like a an employee, like an like an intern, and
you'll get a large part of the way there. And
on top of that, treat tell it what kind of person
it is. So AI works better with context. Give it a
context by telling it you are an expert marketer.
You are a lesson plan designer. And that gives the
AI context to understand what kind of questions
you're asking and how. The danger of treating the
AI like a person is you're committing the cardinal
sin of AI researchers, which is to pretend that a
computer is a human. And there's a lot of reasons
you don't want to pretend a computer is a human.
It's not a human. It doesn't think like a human.
You might start to become more persuaded by it.
You might become blind to its biases. You
might think it's more capable than it is.
AI kind of works a little bit like
a psychic. It's it's really good at
figuring out what you want to hear from
it and then telling you what you want to
hear. And so it's very easy to lose track
of that if you start treating like a human
being. Use it like a human, but also
always keep in the back of your mind,
I'm talking to a machine. There's no mind
behind this. There's no emotion or personality.
The fourth and final principle is assume this
is the worst AI you're ever going to use.
We are in the middle of technological progress,
not at the end. The progression of AI has been
extraordinarily rapid and it's hard to measure
directly. There's a lot of test scores and
attempts to measure it, but I tend to think of it
kind of subjectively. When you think about GPT3,
which was a earlier AI and it came out in uh 2021,
it wrote at about the level of a sixth grader,
which was really amazing. I was like, "Wow, I
can't believe it could write this well." By the
time GPT 3.5 came out, which was the version of
that came with chat GPT in the end of 2022, that
wrote about as well as a sophomore in college, and
then GPT4, which came out in 2023, was as about
as good a writer as a freshman PhD. That's a very
fast progression. And we know that GPT5 and other
technologies in the timeline. You may already have
access to those by the time you watch this video.
And this is a pretty fast progression. We don't
know how far it's going to go. We don't know how
good these systems are going to get. We're not
in control of how fast these systems improve.
We are in control of how we decide to use
them and how we decide to apply them. As
managers and leaders, you get to make these
choices about how to deploy these systems to
increase human flourishing rather than necessarily
replacing people or watching them more closely.
As individuals, we get to decide how to be the
human who uses these systems well rather than
having the systems tell us what to do. And
we get to make a lot of decisions this way.
To watch the full class, become a
member at bigthink.com/membership.
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