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AI can help us be the self we're trying 00:00
to be 00:02
and the the person we intend to be in an 00:03
interaction with someone else by telling 00:05
us where our blind spots are, what we 00:07
may be missing, 00:09
[Music] 00:18
I'm really interested um you know what 00:26
do you think if you're start if 00:28
someone's starting out in their careers 00:30
these days you know in the in the you 00:31
know era of AI 00:33
you know going into an entry level job 00:35
or something you know what what should 00:37
they be thinking about what's the 00:40
it's a great question I mean ra in 00:42
general I think and it's been true for a 00:45
for a time even before AI in the last 00:48
couple of years 00:51
really um lit up in a big way it's been 00:52
true for a while that sort of being a 00:56
ravenous continuous learner was probably 00:58
going to be the secret to success in 01:00
life. And that's very um that sounds 01:02
easy. Uh it sounds easy to have a growth 01:05
mindset. I mean people just say you know 01:09
everyone thinks they love to learn 01:10
because in some sense we do uh in some 01:13
sense human beings do love to learn and 01:16
that's innate. Um, but really loving to 01:18
learn as an adult in the real world 01:21
whose performance is being evaluated, 01:24
who has real consequences, right, for 01:27
success and failure. It gets awfully 01:30
hard to love to learn 01:32
because you really are so focused on 01:34
looking like you already know 01:36
everything, right? That's the headsp 01:38
space that we get into. You're terrified 01:39
to not look like you you already know 01:41
it. And of course that then sort of 01:43
forces people into wanting to stay safe, 01:45
to stay with what's familiar. And we 01:48
really need to to fight that that I 01:51
think that the pace of change is not 01:53
going to slow down. you know, the 01:55
company I work for, we work in the space 01:56
of customer service and and using AI and 01:58
customer service and you know, the 02:00
people that are that are speaking on 02:02
phones and and using chats uh you know 02:04
with with consumers, you know, it used 02:07
to be uh before AI that there was a a 02:09
coach uh a manager quality manager that 02:12
would basically listen into one in 10 of 02:15
their calls or would look review one in 02:18
50 of their emails uh and then 02:21
subjectively give feedback to And and 02:23
the argument would be, well, you just 02:26
looked at you listened to my crappy 02:27
call. All my other calls were great. You 02:29
know, what about the other ones, you 02:30
know? So, so we have software that's 02:32
been around for quite a while now using 02:35
AI that's listening to every call that 02:36
they do that is monitoring every email 02:38
and actually scoring uh those people on 02:41
how well they do, the behaviors they 02:45
demonstrate, the outcomes they generate, 02:46
all that kind of stuff. So, that allows 02:48
you basically to understand the areas 02:50
for development. It's not down to, you 02:53
know, a coach's opinion on that day who 02:55
maybe had a bad night the night before 02:57
and is in a bad mood. And then there's 02:58
really clever ways of actually executing 03:00
that training. You can do very, very 03:02
specific AIdriven training for a 03:05
particular behavior. You could, for 03:07
example, give a demonstration of another 03:08
call with someone that one of your 03:11
colleagues did where they did a great 03:12
example of that particular behavior. And 03:14
we even have examples of um uh simulated 03:16
customers. So we know a particular uh 03:20
agent or employee struggles in this 03:23
situation. So we'll s have an AI 03:25
simulate a customer uh that will test 03:27
that situation and the AI can give 03:31
training to the individual the employee 03:33
to say look you should have said this 03:35
rather than this you should have done 03:36
that rather than that. 03:37
That's there's such a great example of I 03:39
think where the potential for AI rests 03:41
in learning and development. Um because 03:44
you have you you touched on so many 03:47
things I think that are important. Um 03:49
one is the idea of really quality 03:51
feedback. Feedback in the human and 03:54
human world is subjective inherently. 03:57
And truthfully a lot of research 04:00
suggests the feedback you give is as 04:02
much about you as it is about the person 04:04
you're giving feedback to for better or 04:06
worse. Um, so that that ability to be 04:08
getting really rich feedback that is a 04:11
little bit less perhaps grounded in your 04:13
own like you know kind of subjective 04:16
state. I think also you know your 04:18
ability to get feedback at the moment 04:20
that you could use the feedback. You 04:23
know nudging behavior 04:25
is much more effective if you can nudge 04:27
the behavior in the moment that the 04:29
behavior is occurring which is again 04:30
very difficult for human managers or 04:32
human co-workers to do. Y 04:34
but AI can actually kind of give you 04:37
that when you could use it most where 04:38
it's most likely to change 04:40
your performance. So I I think that 04:42
those are some of the those are some of 04:44
the things that are really rich and and 04:46
the idea of also being able to practice 04:47
particularly challenging behaviors in a 04:52
less threatening environment. The the 04:55
reality is human beings care inherently 04:57
about what other human beings think of 05:01
them. 05:02
Sure. And so in in any situation with 05:03
another human being present 05:06
um it's inherently evaluative even when 05:08
people don't want it to be even way they 05:11
say it's a have a growth mindset this is 05:12
a safe space it's okay to make mistakes 05:14
and even if you really mean that on some 05:17
level human beings are still going to be 05:19
concerned about how they look and there 05:22
is that potential with an AI coach in an 05:24
AI based simulation to feel about as 05:28
free as you can feel I'm Not actually 05:31
even sure the evaluation concerns go 05:33
away completely, but but but less 05:35
threatening, right? Um 05:37
more free for to kind of try trial and 05:39
error, to do something new, to be 05:42
curious, to explore. I think that is one 05:44
of the things as a learning scientist 05:48
that makes me 05:50
really excited about AI to create safe 05:52
spaces for people to practice difficult 05:54
conversations. 05:56
um to practice, you know, giving a 05:57
client bad news. That's never a fun or 05:59
or or your boss, telling telling 06:02
somebody something that you suspect they 06:05
may not want to hear. Um and trying to 06:07
do that in a way that doesn't demotivate 06:09
them or, you know, these these are hard 06:10
things. So, I I love that AI can help us 06:12
with that. So, I think for young people 06:14
coming into the workplace, don't lose 06:17
your curiosity. Keep trying to 06:20
ravenously learn as many things as you 06:22
can. And then again, I think with AI, be 06:24
very thoughtful about the shortcuts you 06:27
you may be tempted to take at some point 06:31
in the, you know, in the moment you 06:33
might be able to kind of get the job 06:35
done, but eventually you're going to pay 06:36
the price because you aren't learning. 06:38
So, I think that's one of the things I'd 06:40
say, you know, we really have to 06:42
exercise some willpower around 06:44
is again either trying to use AI as 06:47
something that helps you get started. 06:50
Yep. Um, but you are still going to do 06:53
the synthesis. You're still going to 06:55
pull all the notes together. Or 06:57
conversely, you start by pulling all the 06:59
notes together and then you have the AI 07:02
help refine it. What am I missing? What 07:04
am I not thinking about how could I 07:06
communicate this more effectively? And 07:08
and try to use AI as a coach 07:10
to give you tips rather than ask it to 07:13
rewrite it for you. 07:15
Um, again, I recognize that that takes a 07:17
lot of discipline. Um, but it's really 07:20
going to pay off in the end when you are 07:22
in fact an expert 07:25
and others who took shortcuts are not. 07:27
Yep. You're you're 100% and I think you 07:29
hit the nail on the head with the growth 07:31
mindset. 07:33
Yeah. 07:34
You know, and and rather than the fixed 07:34
mindset to to recognize that you've 07:36
always got room to grow and learn. If 07:38
you think back, you know, I don't know, 07:41
70, 80 years, people, you know, you had 07:43
one profession. Yeah. You go out, you'd 07:45
learn that profession that would be your 07:48
life's work. That one thing you know for 07:50
the last 20 30 years kind of you know 07:52
people have had two or three professions 07:55
you know as technology came through and 07:57
changed things each time these waves. I 08:00
think what we're going to see with AI is 08:02
that every couple of years. So you're 08:04
only going to get through that with the 08:06
growth mindset with the recognizing that 08:08
what you learned two years ago is no 08:11
longer relevant. It's time to learn 08:13
again. And you absolutely another good 08:14
point which is you know AI is is like a 08:17
high performance car or a you know it's 08:20
an amazing tool. 08:23
It doesn't mean that that everyone can 08:25
use that high performance car or tool 08:26
the same way. 08:28
So then there's the you know knowing 08:29
prompt engineering for example you know 08:31
being an expert prompt engineer is the 08:34
equivalent of being a you know an 08:36
amazing car racing driver or something. 08:38
You know how to move that car really 08:41
really quickly. But that will change 08:42
again in a couple of years. So, but I 08:45
think you you you really hit it with the 08:47
growth mindset's key. I 08:49
I'm curious what you think about because 08:50
I would say like sort of the two major 08:52
categories I hear from leaders who are 08:54
reluctant to have their people using AI. 08:57
Um 09:00
you know that there's even I've heard 09:02
the phrase AI shaming, right? To kind of 09:04
really discouraging people from using 09:06
it. The one concerned we talked about 09:08
which is I'm I'm worried my people won't 09:10
learn. I'm worried they won't build 09:12
expertise. But the other one of course 09:13
is is the is the accuracy 09:15
um concern, right? And and that you know 09:17
again there's a lot of sort of headlines 09:20
about hallucinations. It's making up law 09:22
cases. It's making up uh citations for 09:25
science articles that don't exist. 09:28
Um 09:30
how do you think about that and and and 09:32
and how worried are you about that? and 09:35
and and and what if anything do you 09:38
think people need to be again those 09:40
young people who are starting to use AI 09:42
in their roles how they need to be 09:44
thinking about how they evaluate output 09:46
how they think about whether or not 09:49
something I can trust what I'm getting 09:50
it's super to the second question first 09:52
of all and that's about being really 09:54
good at prompt engineering the questions 09:56
you ask uh an LLM you know 09:58
conversational AI is key and so asking 10:01
the right questions is prompt 10:04
engineering so getting the right answers 10:06
is you can very easily ask an ambiguous 10:08
question that is very open to multiple 10:11
interpretations that's going to more 10:13
likely produce a hallucination that's 10:15
today it's early days in a in a year or 10:17
so you know it'll be selfcorrecting and 10:19
better than that I believe 10:22
the first part of your question you know 10:24
does it make people lazy 10:26
um you could say the same thing you you 10:28
know oh we have GPS in our cars now does 10:30
it 10:33
does it make you lazy that you don't 10:33
carry a map around pull over every 10 10:35
miles and check the map kind of thing. 10:37
Well, kind of. Yes. But actually, you're 10:39
no longer focusing on navigation. You've 10:41
outsourced that to to something else. 10:43
So, you maybe you listen to a podcast 10:46
while you're driving your car. Point 10:49
being is that that um you know yes it's 10:51
going to change things that we 10:54
previously had great we we applied great 10:55
value to you know writing an essay on 10:58
something whatever you know but then it 11:02
elevates us to something that's even 11:04
more valuable and even greater um done 11:06
done correctly long as technology is not 11:10
not um you know it's the equivalent of 11:13
someone moves from sewing clothes to you 11:15
know building the machines that that uh 11:18
makes clothes for example or a fashion 11:21
designer because we can produce so much 11:23
in the way of clothing these days 11:25
there's new roles around fashion design 11:27
as well because it's it's now 11:29
commoditize the production of clothes as 11:31
a commodity the so AI is going to do the 11:34
same thing it's going to commoditize 11:36
things that we previously held a lot of 11:38
value for 11:40
but then as you said will then elevate 11:41
to higher purpose higher value 11:44
activities 11:46
I love that thinking about the potential 11:47
for because you were talking about, you 11:49
know, the right prompt can mitigate 11:51
the odds of a terrible answer. And we 11:54
think about that with, you know, 11:57
confirmation bias, right? If if you 11:59
write a prompt and you say, "Tell me why 12:01
Taylor Swift is the greatest songwriter 12:04
who ever lived, then uh then it's going 12:06
to tell you why she is." And if you say, 12:08
but if they were to say, and then tell 12:11
me who does if there's anyone who 12:12
doesn't think that and why they don't 12:14
think that, now you're going to get, and 12:15
it's literally what we teach when we 12:17
teach decision- making. 12:19
Um, and for how people to think about 12:20
how, you know, now not to fall prey to 12:22
certain assumptions or certain biases, 12:24
you're kind of building it in. 12:26
But it's also, 12:28
you know, the reality is if you just 12:30
took a decision-making course as a 12:32
leader 12:34
10 years ago, we would teach you all of 12:34
these techniques on on how to make 12:36
better decisions. Some of them are quite 12:38
challenging. If I say, well, you need to 12:41
to engage in critical thinking, let's 12:44
say. Uh you need to think about all of 12:45
the assumptions you're making and 12:48
surface them. 12:50
Well, that's a 12:51
that's a challenging thing to do. 12:52
Assumptions are are almost inherently 12:54
unconscious. So, even if I sit there for 12:57
a long time and I think about what are 12:59
all the assumptions I'm making that are 13:01
leading to this decision, I may get some 13:02
of them. 13:04
um maybe if I'm using the perspectives 13:06
of other people, I'll surface a bit 13:08
more. AI can be a brilliant partner in 13:10
decision making because you can ask it, 13:13
hey, what are some of the assumptions I 13:15
may be making here? And the odds, you 13:17
know, it'll find some and go, oh yeah, 13:19
you know what? I am making that 13:22
assumption. Is that okay, is that a 13:23
valid assumption? Is there information 13:25
suggests that that assumption is no 13:27
longer true? things we told people to do 13:28
for decades to make better decisions 13:31
are so much easier. 13:34
Yeah. 13:36
With something like AI to augment the 13:36
process 13:39
and what you just just described is 13:39
prompt engineering. You know that that's 13:41
exactly it. Giving telling it 13:43
assumptions validate my assumptions is 13:44
prompt engineering. So it's a it's it's 13:46
something that was meaningless. No one 13:49
had heard of prompt engineering 2 years 13:51
ago, right? But you know many 13:52
entry-level jobs that come up in the 13:55
future I believe this will be a 13:58
fundamental prerequisite and being good 13:59
at that I imagine there'll be degree 14:01
courses at least for a few years until 14:04
it's succeeded around you know clever 14:05
smart uh prompt engineering to get the 14:08
best out of that high performing vehicle 14:10
which is AI. Well, and and again, it's 14:12
one of those things where, you know, we 14:14
there there's a certain expedience to 14:16
having people write mega prompts and 14:19
then you go, okay, here you can use my 14:21
mega prompt. Okay, that's fast. I get 14:23
it. But what's even better is to really 14:26
have people studying the process of 14:28
because then you are learning. 14:30
In order to make a really great mega 14:32
prompt that takes me through a whole 14:34
process, 14:35
I need to understand why each piece of 14:36
that prompt was necessary. And so along 14:38
the way I'm learning things like well 14:40
there's something called the 14:43
confirmation bias. If you ask a question 14:44
a certain way asking for evidence for 14:46
one thing that's what you're going to 14:48
get right. So so it's exciting for me to 14:49
think about all the things we can teach 14:52
through the process of teaching 14:54
prompting that helps people to arrive at 14:56
better questions 14:59
better and more thorough understanding 15:01
of information. You know how do we get 15:03
people to think rationally about risk? 15:06
That's incredibly hard. Loss aversion is 15:08
a very strong impulse um in the brain. 15:11
But through really good prompting, we 15:14
can get people to actually think through 15:16
information in a much more even-handed 15:19
way. So, I'm I'm very excited 15:21
about the future of decision making. Y 15:24
with AI because it's not about AI making 15:26
the decision for you. 15:29
It's about it really helping you to see 15:31
the things that you might be missing. 15:34
Um, which I think and treating it like 15:36
the the futurist Bob Johansson said this 15:38
in one of his books and it cracked me up 15:41
but I think it's a really great analogy 15:42
that that AI at least in current in its 15:44
current state is sort of like a a a 15:46
really well- read but overly confident 15:48
intern 15:51
that's with you all the time. And I love 15:52
that idea's only as good as the training 15:55
it's got 15:57
and as the person who again is sort of 15:57
behind the wheel. Yeah. Yeah. 16:00
Um, and I think that that that human in 16:02
the loop part is so important that we're 16:05
still going to need people. 16:07
I mean, when you think about that, what 16:09
are the things you think of that we're 16:10
kind of always or at least for the 16:13
foreseeable future going to want a human 16:15
playing a role in sort of like there's 16:18
the things we'll let AI do and that 16:21
we'll let agents do. Where to you are 16:23
the most important places for 16:25
humans to still actually be a big part 16:27
of the equation? Very very good question 16:29
and and um you know I think everyone's 16:31
going to be different 16:33
um you know clearly there's moments that 16:35
matter uh where you need that human 16:38
connection um you know and and it may be 16:40
an emotional moment it may be something 16:43
that's uh requires empathy um it could 16:45
be something that's of massive 16:48
significance that can't go wrong um so I 16:50
think uh you know we're going to need 16:53
that that moment but what's interesting 16:55
is those moments that matter 16:58
where there's a human probably that 17:00
human you're interacting with is 17:02
leveraging AI, 17:04
you know, in some way to to make them 17:06
super human to help the problem that you 17:08
have. 17:11
um you know and again we're talking a 17:12
little bit about business here and 17:14
there's kind of the other aspect I think 17:15
this that that really is interesting is 17:18
how AI is going to help people in their 17:20
personal lives you know and it's uh 17:22
you know and that human connection and 17:25
stuff and that so and and you know I 17:27
think I'm really interested in your 17:30
opinion as a psychologist in this you 17:32
know we're all familiar with the the 17:34
algorithm you know and the rabbit hole 17:35
and the fact that that social media is 17:37
is is is is so personalized that it 17:40
takes people down these kind of rabbit 17:44
holes of very individualist lonely 17:45
places in many cases. 17:47
And I I you know I've got a strong hope 17:49
that we're going to use AI to to create 17:52
shared communities, shared water cooler 17:54
type places of like-minded people, you 17:57
know, who can get together and share 18:00
things either in the real world or in, 18:01
you know, in in virtual spaces as well 18:03
rather than kind of this this the rabbit 18:05
holes we find ourselves in today. I 18:08
mean, I think in general that I believe 18:10
that that's going to be the case. I do 18:12
feel 18:14
to me some of the places where AI can 18:16
help us be better humans the most are 18:18
those places where for some reason or 18:20
another there is sort of a human quirk 18:22
or a or a a or a sort of a limited 18:25
capability that AI can help us augment. 18:28
Right? So, right now the solution for 18:32
not going down the rabbit hole is people 18:34
say put your phone down. 18:35
Okay. Well, that's hard, right? Because 18:38
my phone is full of interesting things. 18:41
Um, and all kinds of things that give me 18:44
those little dopamine hits that I'm I'm 18:45
looking at. They'll also give me a lot 18:47
of dopamine deficit, but it'll give me 18:49
those dopamine hits. And very often, you 18:52
know, when do we want people to put 18:54
their phone down? Well, we want them to 18:55
put it down at night 18:57
because there's lots of research that 18:58
shows it's terrible to be on your phone 18:59
right before you try to get sleep. Um, 19:01
when do we have the least willpower to 19:03
do something like that? at night, 19:06
right? 19:08
Because you have spent it. Willpower is 19:08
a limited resource. We all spend it all 19:10
day long. Every time we make decisions, 19:12
every time we resist an impulse, every 19:15
time someone sends you an email and you 19:17
don't immediately fly off the handle 19:18
with a we're using that limited supply 19:21
and and as we go out, I mean, this is 19:24
why happy hour exists, right? By the end 19:25
of the day, it all just, you know, that 19:27
it seems like a really good idea. So I 19:29
think those places where AI can really 19:32
help us be the people we want to be is 19:34
where we can use it as a almost like you 19:37
would a human partner who is saying hey 19:39
like you know this is really the time 19:41
you wanted to put your phone down let's 19:42
do something else instead that it's it's 19:44
helping manage your day 19:46
giving you little tips like hey maybe 19:48
you want to you've been staring at your 19:50
computer screen for 2 hours maybe you 19:53
should do something for five minutes 19:55
that replenishes you and puts a little 19:57
bit of that gas back in the tank and I 20:00
happen to know that you enjoy these 20:02
kinds of 5minute activities. Here are 20:04
some suggestions. Right? So I think it's 20:06
really exciting. I think those places 20:08
where we struggle to be our best selves 20:10
um where we have our blind spots where 20:14
we kind of maybe there are unconscious 20:16
forces that are undermining the pursuit 20:18
of our goals. That AI can play a role in 20:21
helping us 20:24
um in those moments where we need it 20:25
most. I think is so exciting. 20:27
It's it's really cool. It's it's connect 20:28
argument I have with my kids um around 20:31
AI and personalization. So and 20:33
especially with art for example. So you 20:35
know we're all familiar with like 20:38
playlist of you know 20:39
music that's that's you know created for 20:41
you the you know based on what you 20:44
listen to what you've liked you know you 20:46
get a list of songs that that predicted 20:48
you'll like. 20:50
In the age of AI you know this will go 20:52
beyond you know there'll be music that's 20:55
created for you. you know, it's not an 20:57
artist that exists. It's just AI that's 21:00
created the perfect music for you for 21:01
that moment 21:03
or even the perfect movie 21:04
for you in that moment. You know, that 21:06
that what you need at that time. 21:08
So, one of the arguments I have with my 21:10
kids is quite interesting. It goes this 21:11
kind of idea of a rabbit hole cuz 21:13
the movie that's created just for you at 21:15
that particular time is the ultimate 21:17
rabbit hole. You're you're in this 21:19
lonely place watching this lonely movie 21:20
created for you, but it's hitting all 21:22
the dopamine you need at that time. Um 21:24
my kids argument which is quite 21:26
interesting is is the idea of community. 21:28
Um you know and actually part of the 21:30
reason they like a movie or like a song 21:32
isn't because it's good for them but 21:34
they know other people like it as well 21:36
and other people have watched it as 21:38
well. So sure. Yeah. So, so what's quite 21:39
interesting to me is, you know, if AI is 21:42
going to generate content, you know, to 21:45
what degree is that personalized? Is it 21:48
personalized to the individual or to a 21:50
group of friends or to a society or to 21:52
humankind? 21:54
Great question. It's such a social 21:55
psychologist question because we we 21:57
think about I when we think about 21:59
identity for years, for decades, social 22:02
psychologists have thought about 22:05
identity as being a com. It isn't it 22:07
isn't who you are individually or your 22:10
group identities. It's all of those. 22:13
Right? So you are a unique individual 22:15
but the groups to which you belong um 22:18
that are meaningful to you um along all 22:20
kinds of different those are important 22:24
as well. And but and what tends to be 22:26
the case is that people fluctuate a bit. 22:28
Um so it it can fluctuate by culture. 22:32
So, in some cultures, your group 22:35
identities tend to be more important 22:37
than your individual identity, right? 22:38
Um, and vice versa. But I think it's 22:40
also going to move kind of throughout 22:43
your day where there may be moments 22:46
where what you're really craving is 22:49
something that is uniquely for you 22:50
and that's that's the that's the piece 22:53
you want in that moment. But I think 22:55
there's also always going to be the 22:57
things that you feel connect you to 22:59
other people. 23:01
Yes. Um, so it's probably an it's an and 23:02
it's probably I do want some there may 23:05
be an evening where I want the movie 23:08
that was made for me. There may be more 23:10
evenings where I want something that I 23:12
feel like I can I can share with people 23:14
or that others are sharing with me. And 23:16
I think we're going to see that it's 23:19
it's quite fluid because I I I for one, 23:21
it's funny that 23:23
thinking about creativity and the arts. 23:25
Um, I do see that there we certainly 23:27
artists are already and will continue to 23:30
augment their art through with AI as a 23:33
helper. I do think it still matters to 23:36
people and probably again will 23:38
uh forever because I think it's a human 23:41
nature thing that there is a human 23:43
behind the art, right? That there's a a 23:46
human behind the music. 23:48
Um, there's a human behind a great piece 23:49
of of pros or or or film making or or a 23:52
designer. Um, however, that they'll be 23:55
augmented a bunch certainly. Um, and and 23:58
I think I I think it will always matter, 24:02
but I think there will be those moments. 24:04
It's like elevator music. There's going 24:06
to just be some times you're like, "No, 24:07
I just want the manifest." Yeah, I just 24:09
want the thing that was manufactured for 24:11
me right now. 24:13
Um, and then I think there'll be times 24:14
where just really where the meaning 24:16
comes from 24:18
uh the meaning of something comes from 24:20
the sharedness with other humans. I 24:21
think that's probably always going to be 24:24
true. 24:25
I think that's 100%. And you know, in 24:25
the same way that sometimes we'll want a 24:27
burger, 24:29
you know, and other times we want like, 24:30
you know, a beautiful meal in a really 24:33
nice restaurant. 24:35
Absolutely. 24:36
Life's about the all of those choices 24:36
and having those as well. And I'm hoping 24:39
that 24:40
AI doesn't just become fast food for 24:41
everyone. Uh, and we have, you know, the 24:43
right, you know, the right approach to 24:46
it like we do with other parts of our 24:47
lives. So, 24:49
well, Barry, I just want to thank you so 24:50
much. This was so much fun. I mean, this 24:51
is one this is one of these topics I 24:54
can't stop talking about. Um, but it was 24:55
really great to to be able to talk to 24:57
someone who is, I think, not only sort 24:59
of at the forefront of what we are doing 25:00
today with AI, but someone who's 25:02
thinking so deeply about what we're 25:04
going to be doing with it in the future. 25:05
So, thank you. 25:07
That's a pleasure. And thank you, Heidi. 25:08
It's really, really good to speak to an 25:09
expert in behavioral psychology. And, 25:11
uh, I think it's going to be interesting 25:13
years ahead as AI, you know, wave hits 25:15
and what it means for people. So, you've 25:18
got some interesting interesting work 25:20
ahead and thank you for your time. 25:22
Yeah, I think we'll both have lots to 25:23
do. Yes. So, thanks. 25:25
Cheers. 25:26

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[English]
AI can help us be the self we're trying
to be
and the the person we intend to be in an
interaction with someone else by telling
us where our blind spots are, what we
may be missing,
[Music]
I'm really interested um you know what
do you think if you're start if
someone's starting out in their careers
these days you know in the in the you
know era of AI
you know going into an entry level job
or something you know what what should
they be thinking about what's the
it's a great question I mean ra in
general I think and it's been true for a
for a time even before AI in the last
couple of years
really um lit up in a big way it's been
true for a while that sort of being a
ravenous continuous learner was probably
going to be the secret to success in
life. And that's very um that sounds
easy. Uh it sounds easy to have a growth
mindset. I mean people just say you know
everyone thinks they love to learn
because in some sense we do uh in some
sense human beings do love to learn and
that's innate. Um, but really loving to
learn as an adult in the real world
whose performance is being evaluated,
who has real consequences, right, for
success and failure. It gets awfully
hard to love to learn
because you really are so focused on
looking like you already know
everything, right? That's the headsp
space that we get into. You're terrified
to not look like you you already know
it. And of course that then sort of
forces people into wanting to stay safe,
to stay with what's familiar. And we
really need to to fight that that I
think that the pace of change is not
going to slow down. you know, the
company I work for, we work in the space
of customer service and and using AI and
customer service and you know, the
people that are that are speaking on
phones and and using chats uh you know
with with consumers, you know, it used
to be uh before AI that there was a a
coach uh a manager quality manager that
would basically listen into one in 10 of
their calls or would look review one in
50 of their emails uh and then
subjectively give feedback to And and
the argument would be, well, you just
looked at you listened to my crappy
call. All my other calls were great. You
know, what about the other ones, you
know? So, so we have software that's
been around for quite a while now using
AI that's listening to every call that
they do that is monitoring every email
and actually scoring uh those people on
how well they do, the behaviors they
demonstrate, the outcomes they generate,
all that kind of stuff. So, that allows
you basically to understand the areas
for development. It's not down to, you
know, a coach's opinion on that day who
maybe had a bad night the night before
and is in a bad mood. And then there's
really clever ways of actually executing
that training. You can do very, very
specific AIdriven training for a
particular behavior. You could, for
example, give a demonstration of another
call with someone that one of your
colleagues did where they did a great
example of that particular behavior. And
we even have examples of um uh simulated
customers. So we know a particular uh
agent or employee struggles in this
situation. So we'll s have an AI
simulate a customer uh that will test
that situation and the AI can give
training to the individual the employee
to say look you should have said this
rather than this you should have done
that rather than that.
That's there's such a great example of I
think where the potential for AI rests
in learning and development. Um because
you have you you touched on so many
things I think that are important. Um
one is the idea of really quality
feedback. Feedback in the human and
human world is subjective inherently.
And truthfully a lot of research
suggests the feedback you give is as
much about you as it is about the person
you're giving feedback to for better or
worse. Um, so that that ability to be
getting really rich feedback that is a
little bit less perhaps grounded in your
own like you know kind of subjective
state. I think also you know your
ability to get feedback at the moment
that you could use the feedback. You
know nudging behavior
is much more effective if you can nudge
the behavior in the moment that the
behavior is occurring which is again
very difficult for human managers or
human co-workers to do. Y
but AI can actually kind of give you
that when you could use it most where
it's most likely to change
your performance. So I I think that
those are some of the those are some of
the things that are really rich and and
the idea of also being able to practice
particularly challenging behaviors in a
less threatening environment. The the
reality is human beings care inherently
about what other human beings think of
them.
Sure. And so in in any situation with
another human being present
um it's inherently evaluative even when
people don't want it to be even way they
say it's a have a growth mindset this is
a safe space it's okay to make mistakes
and even if you really mean that on some
level human beings are still going to be
concerned about how they look and there
is that potential with an AI coach in an
AI based simulation to feel about as
free as you can feel I'm Not actually
even sure the evaluation concerns go
away completely, but but but less
threatening, right? Um
more free for to kind of try trial and
error, to do something new, to be
curious, to explore. I think that is one
of the things as a learning scientist
that makes me
really excited about AI to create safe
spaces for people to practice difficult
conversations.
um to practice, you know, giving a
client bad news. That's never a fun or
or or your boss, telling telling
somebody something that you suspect they
may not want to hear. Um and trying to
do that in a way that doesn't demotivate
them or, you know, these these are hard
things. So, I I love that AI can help us
with that. So, I think for young people
coming into the workplace, don't lose
your curiosity. Keep trying to
ravenously learn as many things as you
can. And then again, I think with AI, be
very thoughtful about the shortcuts you
you may be tempted to take at some point
in the, you know, in the moment you
might be able to kind of get the job
done, but eventually you're going to pay
the price because you aren't learning.
So, I think that's one of the things I'd
say, you know, we really have to
exercise some willpower around
is again either trying to use AI as
something that helps you get started.
Yep. Um, but you are still going to do
the synthesis. You're still going to
pull all the notes together. Or
conversely, you start by pulling all the
notes together and then you have the AI
help refine it. What am I missing? What
am I not thinking about how could I
communicate this more effectively? And
and try to use AI as a coach
to give you tips rather than ask it to
rewrite it for you.
Um, again, I recognize that that takes a
lot of discipline. Um, but it's really
going to pay off in the end when you are
in fact an expert
and others who took shortcuts are not.
Yep. You're you're 100% and I think you
hit the nail on the head with the growth
mindset.
Yeah.
You know, and and rather than the fixed
mindset to to recognize that you've
always got room to grow and learn. If
you think back, you know, I don't know,
70, 80 years, people, you know, you had
one profession. Yeah. You go out, you'd
learn that profession that would be your
life's work. That one thing you know for
the last 20 30 years kind of you know
people have had two or three professions
you know as technology came through and
changed things each time these waves. I
think what we're going to see with AI is
that every couple of years. So you're
only going to get through that with the
growth mindset with the recognizing that
what you learned two years ago is no
longer relevant. It's time to learn
again. And you absolutely another good
point which is you know AI is is like a
high performance car or a you know it's
an amazing tool.
It doesn't mean that that everyone can
use that high performance car or tool
the same way.
So then there's the you know knowing
prompt engineering for example you know
being an expert prompt engineer is the
equivalent of being a you know an
amazing car racing driver or something.
You know how to move that car really
really quickly. But that will change
again in a couple of years. So, but I
think you you you really hit it with the
growth mindset's key. I
I'm curious what you think about because
I would say like sort of the two major
categories I hear from leaders who are
reluctant to have their people using AI.
Um
you know that there's even I've heard
the phrase AI shaming, right? To kind of
really discouraging people from using
it. The one concerned we talked about
which is I'm I'm worried my people won't
learn. I'm worried they won't build
expertise. But the other one of course
is is the is the accuracy
um concern, right? And and that you know
again there's a lot of sort of headlines
about hallucinations. It's making up law
cases. It's making up uh citations for
science articles that don't exist.
Um
how do you think about that and and and
and how worried are you about that? and
and and and what if anything do you
think people need to be again those
young people who are starting to use AI
in their roles how they need to be
thinking about how they evaluate output
how they think about whether or not
something I can trust what I'm getting
it's super to the second question first
of all and that's about being really
good at prompt engineering the questions
you ask uh an LLM you know
conversational AI is key and so asking
the right questions is prompt
engineering so getting the right answers
is you can very easily ask an ambiguous
question that is very open to multiple
interpretations that's going to more
likely produce a hallucination that's
today it's early days in a in a year or
so you know it'll be selfcorrecting and
better than that I believe
the first part of your question you know
does it make people lazy
um you could say the same thing you you
know oh we have GPS in our cars now does
it
does it make you lazy that you don't
carry a map around pull over every 10
miles and check the map kind of thing.
Well, kind of. Yes. But actually, you're
no longer focusing on navigation. You've
outsourced that to to something else.
So, you maybe you listen to a podcast
while you're driving your car. Point
being is that that um you know yes it's
going to change things that we
previously had great we we applied great
value to you know writing an essay on
something whatever you know but then it
elevates us to something that's even
more valuable and even greater um done
done correctly long as technology is not
not um you know it's the equivalent of
someone moves from sewing clothes to you
know building the machines that that uh
makes clothes for example or a fashion
designer because we can produce so much
in the way of clothing these days
there's new roles around fashion design
as well because it's it's now
commoditize the production of clothes as
a commodity the so AI is going to do the
same thing it's going to commoditize
things that we previously held a lot of
value for
but then as you said will then elevate
to higher purpose higher value
activities
I love that thinking about the potential
for because you were talking about, you
know, the right prompt can mitigate
the odds of a terrible answer. And we
think about that with, you know,
confirmation bias, right? If if you
write a prompt and you say, "Tell me why
Taylor Swift is the greatest songwriter
who ever lived, then uh then it's going
to tell you why she is." And if you say,
but if they were to say, and then tell
me who does if there's anyone who
doesn't think that and why they don't
think that, now you're going to get, and
it's literally what we teach when we
teach decision- making.
Um, and for how people to think about
how, you know, now not to fall prey to
certain assumptions or certain biases,
you're kind of building it in.
But it's also,
you know, the reality is if you just
took a decision-making course as a
leader
10 years ago, we would teach you all of
these techniques on on how to make
better decisions. Some of them are quite
challenging. If I say, well, you need to
to engage in critical thinking, let's
say. Uh you need to think about all of
the assumptions you're making and
surface them.
Well, that's a
that's a challenging thing to do.
Assumptions are are almost inherently
unconscious. So, even if I sit there for
a long time and I think about what are
all the assumptions I'm making that are
leading to this decision, I may get some
of them.
um maybe if I'm using the perspectives
of other people, I'll surface a bit
more. AI can be a brilliant partner in
decision making because you can ask it,
hey, what are some of the assumptions I
may be making here? And the odds, you
know, it'll find some and go, oh yeah,
you know what? I am making that
assumption. Is that okay, is that a
valid assumption? Is there information
suggests that that assumption is no
longer true? things we told people to do
for decades to make better decisions
are so much easier.
Yeah.
With something like AI to augment the
process
and what you just just described is
prompt engineering. You know that that's
exactly it. Giving telling it
assumptions validate my assumptions is
prompt engineering. So it's a it's it's
something that was meaningless. No one
had heard of prompt engineering 2 years
ago, right? But you know many
entry-level jobs that come up in the
future I believe this will be a
fundamental prerequisite and being good
at that I imagine there'll be degree
courses at least for a few years until
it's succeeded around you know clever
smart uh prompt engineering to get the
best out of that high performing vehicle
which is AI. Well, and and again, it's
one of those things where, you know, we
there there's a certain expedience to
having people write mega prompts and
then you go, okay, here you can use my
mega prompt. Okay, that's fast. I get
it. But what's even better is to really
have people studying the process of
because then you are learning.
In order to make a really great mega
prompt that takes me through a whole
process,
I need to understand why each piece of
that prompt was necessary. And so along
the way I'm learning things like well
there's something called the
confirmation bias. If you ask a question
a certain way asking for evidence for
one thing that's what you're going to
get right. So so it's exciting for me to
think about all the things we can teach
through the process of teaching
prompting that helps people to arrive at
better questions
better and more thorough understanding
of information. You know how do we get
people to think rationally about risk?
That's incredibly hard. Loss aversion is
a very strong impulse um in the brain.
But through really good prompting, we
can get people to actually think through
information in a much more even-handed
way. So, I'm I'm very excited
about the future of decision making. Y
with AI because it's not about AI making
the decision for you.
It's about it really helping you to see
the things that you might be missing.
Um, which I think and treating it like
the the futurist Bob Johansson said this
in one of his books and it cracked me up
but I think it's a really great analogy
that that AI at least in current in its
current state is sort of like a a a
really well- read but overly confident
intern
that's with you all the time. And I love
that idea's only as good as the training
it's got
and as the person who again is sort of
behind the wheel. Yeah. Yeah.
Um, and I think that that that human in
the loop part is so important that we're
still going to need people.
I mean, when you think about that, what
are the things you think of that we're
kind of always or at least for the
foreseeable future going to want a human
playing a role in sort of like there's
the things we'll let AI do and that
we'll let agents do. Where to you are
the most important places for
humans to still actually be a big part
of the equation? Very very good question
and and um you know I think everyone's
going to be different
um you know clearly there's moments that
matter uh where you need that human
connection um you know and and it may be
an emotional moment it may be something
that's uh requires empathy um it could
be something that's of massive
significance that can't go wrong um so I
think uh you know we're going to need
that that moment but what's interesting
is those moments that matter
where there's a human probably that
human you're interacting with is
leveraging AI,
you know, in some way to to make them
super human to help the problem that you
have.
um you know and again we're talking a
little bit about business here and
there's kind of the other aspect I think
this that that really is interesting is
how AI is going to help people in their
personal lives you know and it's uh
you know and that human connection and
stuff and that so and and you know I
think I'm really interested in your
opinion as a psychologist in this you
know we're all familiar with the the
algorithm you know and the rabbit hole
and the fact that that social media is
is is is is so personalized that it
takes people down these kind of rabbit
holes of very individualist lonely
places in many cases.
And I I you know I've got a strong hope
that we're going to use AI to to create
shared communities, shared water cooler
type places of like-minded people, you
know, who can get together and share
things either in the real world or in,
you know, in in virtual spaces as well
rather than kind of this this the rabbit
holes we find ourselves in today. I
mean, I think in general that I believe
that that's going to be the case. I do
feel
to me some of the places where AI can
help us be better humans the most are
those places where for some reason or
another there is sort of a human quirk
or a or a a or a sort of a limited
capability that AI can help us augment.
Right? So, right now the solution for
not going down the rabbit hole is people
say put your phone down.
Okay. Well, that's hard, right? Because
my phone is full of interesting things.
Um, and all kinds of things that give me
those little dopamine hits that I'm I'm
looking at. They'll also give me a lot
of dopamine deficit, but it'll give me
those dopamine hits. And very often, you
know, when do we want people to put
their phone down? Well, we want them to
put it down at night
because there's lots of research that
shows it's terrible to be on your phone
right before you try to get sleep. Um,
when do we have the least willpower to
do something like that? at night,
right?
Because you have spent it. Willpower is
a limited resource. We all spend it all
day long. Every time we make decisions,
every time we resist an impulse, every
time someone sends you an email and you
don't immediately fly off the handle
with a we're using that limited supply
and and as we go out, I mean, this is
why happy hour exists, right? By the end
of the day, it all just, you know, that
it seems like a really good idea. So I
think those places where AI can really
help us be the people we want to be is
where we can use it as a almost like you
would a human partner who is saying hey
like you know this is really the time
you wanted to put your phone down let's
do something else instead that it's it's
helping manage your day
giving you little tips like hey maybe
you want to you've been staring at your
computer screen for 2 hours maybe you
should do something for five minutes
that replenishes you and puts a little
bit of that gas back in the tank and I
happen to know that you enjoy these
kinds of 5minute activities. Here are
some suggestions. Right? So I think it's
really exciting. I think those places
where we struggle to be our best selves
um where we have our blind spots where
we kind of maybe there are unconscious
forces that are undermining the pursuit
of our goals. That AI can play a role in
helping us
um in those moments where we need it
most. I think is so exciting.
It's it's really cool. It's it's connect
argument I have with my kids um around
AI and personalization. So and
especially with art for example. So you
know we're all familiar with like
playlist of you know
music that's that's you know created for
you the you know based on what you
listen to what you've liked you know you
get a list of songs that that predicted
you'll like.
In the age of AI you know this will go
beyond you know there'll be music that's
created for you. you know, it's not an
artist that exists. It's just AI that's
created the perfect music for you for
that moment
or even the perfect movie
for you in that moment. You know, that
that what you need at that time.
So, one of the arguments I have with my
kids is quite interesting. It goes this
kind of idea of a rabbit hole cuz
the movie that's created just for you at
that particular time is the ultimate
rabbit hole. You're you're in this
lonely place watching this lonely movie
created for you, but it's hitting all
the dopamine you need at that time. Um
my kids argument which is quite
interesting is is the idea of community.
Um you know and actually part of the
reason they like a movie or like a song
isn't because it's good for them but
they know other people like it as well
and other people have watched it as
well. So sure. Yeah. So, so what's quite
interesting to me is, you know, if AI is
going to generate content, you know, to
what degree is that personalized? Is it
personalized to the individual or to a
group of friends or to a society or to
humankind?
Great question. It's such a social
psychologist question because we we
think about I when we think about
identity for years, for decades, social
psychologists have thought about
identity as being a com. It isn't it
isn't who you are individually or your
group identities. It's all of those.
Right? So you are a unique individual
but the groups to which you belong um
that are meaningful to you um along all
kinds of different those are important
as well. And but and what tends to be
the case is that people fluctuate a bit.
Um so it it can fluctuate by culture.
So, in some cultures, your group
identities tend to be more important
than your individual identity, right?
Um, and vice versa. But I think it's
also going to move kind of throughout
your day where there may be moments
where what you're really craving is
something that is uniquely for you
and that's that's the that's the piece
you want in that moment. But I think
there's also always going to be the
things that you feel connect you to
other people.
Yes. Um, so it's probably an it's an and
it's probably I do want some there may
be an evening where I want the movie
that was made for me. There may be more
evenings where I want something that I
feel like I can I can share with people
or that others are sharing with me. And
I think we're going to see that it's
it's quite fluid because I I I for one,
it's funny that
thinking about creativity and the arts.
Um, I do see that there we certainly
artists are already and will continue to
augment their art through with AI as a
helper. I do think it still matters to
people and probably again will
uh forever because I think it's a human
nature thing that there is a human
behind the art, right? That there's a a
human behind the music.
Um, there's a human behind a great piece
of of pros or or or film making or or a
designer. Um, however, that they'll be
augmented a bunch certainly. Um, and and
I think I I think it will always matter,
but I think there will be those moments.
It's like elevator music. There's going
to just be some times you're like, "No,
I just want the manifest." Yeah, I just
want the thing that was manufactured for
me right now.
Um, and then I think there'll be times
where just really where the meaning
comes from
uh the meaning of something comes from
the sharedness with other humans. I
think that's probably always going to be
true.
I think that's 100%. And you know, in
the same way that sometimes we'll want a
burger,
you know, and other times we want like,
you know, a beautiful meal in a really
nice restaurant.
Absolutely.
Life's about the all of those choices
and having those as well. And I'm hoping
that
AI doesn't just become fast food for
everyone. Uh, and we have, you know, the
right, you know, the right approach to
it like we do with other parts of our
lives. So,
well, Barry, I just want to thank you so
much. This was so much fun. I mean, this
is one this is one of these topics I
can't stop talking about. Um, but it was
really great to to be able to talk to
someone who is, I think, not only sort
of at the forefront of what we are doing
today with AI, but someone who's
thinking so deeply about what we're
going to be doing with it in the future.
So, thank you.
That's a pleasure. And thank you, Heidi.
It's really, really good to speak to an
expert in behavioral psychology. And,
uh, I think it's going to be interesting
years ahead as AI, you know, wave hits
and what it means for people. So, you've
got some interesting interesting work
ahead and thank you for your time.
Yeah, I think we'll both have lots to
do. Yes. So, thanks.
Cheers.

Key Vocabulary

Start Practicing
Vocabulary Meanings

learn

/lɜːrn/

A1
  • verb
  • - to gain knowledge or skill through study or experience

feedback

/ˈfiːd.bæk/

B1
  • noun
  • - information about reactions to a product, a person's performance, etc., used as a basis for improvement

growth

/ɡroʊθ/

A2
  • noun
  • - the process of developing or increasing in size, value, or importance

mindset

/ˈmaɪn.dset/

B2
  • noun
  • - a person's way of thinking and their opinions

augment

/ɔːɡˈmɛnt/

C1
  • verb
  • - to make something greater by adding to it

prompt

/prɒmpt/

B1
  • noun
  • - a cue or hint to help someone remember or think of something
  • verb
  • - to assist or encourage someone to do something

decision

/dɪˈsɪʒən/

A2
  • noun
  • - a choice made between two or more possibilities

curiosity

/ˌkjʊəriˈɒsəti/

B2
  • noun
  • - a strong desire to know or learn something

synthesize

/ˈsɪnθəsaɪz/

C1
  • verb
  • - to combine different ideas, styles, or materials to create something new

evaluate

/ɪˈvæljuːeɪt/

B2
  • verb
  • - to assess or judge the value or quality of something

potential

/pəˈtenʃəl/

B1
  • noun
  • - the capacity to develop or achieve something in the future

discipline

/ˈdɪsəplɪn/

B2
  • noun
  • - the practice of training people to obey rules or a code of behavior

community

/kəˈmjuːnɪti/

B1
  • noun
  • - a group of people living in the same place or having a particular characteristic in common

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