If you look at the way you use wearables,
you feel like you have a little bit of a helper,
something that's reminding you
to take steps or take a call.
You look at that trend of health and wellness
and starting to add the ability
to track every data point
on how you're feeling, your emotion,
your heart rate, where you're going every day.
This is where I think there's been some fear.
Ethics is a big question.
How should leaders think
about the ethical impact that their data has?
Ten years ago, our majors in our educational systems
were typically split.
You had computer science, philosophy,
economics, anthropology.
Look at the financial collapse.
This was a combination of society,
economics, philosophy, humanity,
reactions to things, emotion, right?
It wasn't just one thing in a silo.
What I'm really beginning to see as a major shift
is the appreciation of merging those disciplines together
to really understand how data and AI and ML
are really going to impact the world.
Right now, a lot of times we build technology
for reasons that are great reasons
but sometimes a little shortsighted.
But if every person in a company
is thinking of questions that are bigger than themselves,
questions like making sure we have drinking water,
questions like making sure
the company survives a hundred years,
how, ethically, these things are going to impact the world.
It's not just about what they're building,
it's who they're building it for,
it's what societal impacts it has.
Is it good for sustainability?
And we're doing some of that now
but it really is about bringing that
into the culture and the ways of working
versus just having the very kind of
top-line CEO think about it.
Once companies embrace ethics
and really make it a part of their way of working,
that is really when I think we've cracked the code
in figuring this AI in the next decade question out.