Inflection Point: Building Trust in Emerging Technologies | WIRED Brand Lab
Released on 03/28/2023
[suspenseful music]
[Announcer] The world is changing dramatically,
more businesses are looking for ways to be agile
and ready for future disruption,
and to get there requires one critical
and increasingly valuable ingredient, trust.
[suspenseful music]
Faith in institutions is approaching an all time low,
whether that's governments, businesses, even nonprofits.
What you tend to find is, that there is
a literal price premium that you can ascribe to trust.
So as we look at this issue of trust,
let's break it down into three key areas,
stakeholder trust, the metaverse
and artificial intelligence.
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Technology, somewhat ironically is actually the thing
that led to a lot of the mistrust.
Can we use technology as a tool or a solution
to build trust?
100%, generally speaking, we're seeing businesses
move towards this idea that trust trumps tech
because people support what they understand
and if they don't understand tech, they're not gonna use it.
How can businesses really get ahead of that curve?
How can they adjust to these new and changing notions
of trust and really make trust
an intrinsic guiding principle to all that they do?
Technology is a force multiplier.
One of the things that we've found
in our Deloitte tech trends research
is the idea that blockchain,
it's actually a very useful means
of helping engender trust.
We have a culture of doubt of he said, she said,
blockchain affords a means of getting to what we said,
it enables this idea of maybe none of us
is as trustworthy as all of us.
People pay more than they need to,
to work with an organization
that they feel comfortable with.
And what you're saying about the blockchain then
becomes very interesting because do we have a world
with proof that is based in math we trust,
and blockchain we trust?
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The metaverse really has hit this inflection point now
because it is an extension of ourselves.
The question then becomes, is this a vehicle
to ensure more trust in the real world?
How do you see this playing out in our day-to-day
and in real time?
We talked to one of America's largest energy utilities
and they said Listen, 10 years ago
when we would train someone to work on
an electrical substation, we would have to wait
for the weather to be just right,
fly a group of people from around the country
to that spot and make sure nobody got shocked.
Enter virtual reality tech,
suddenly you've got a triple win.
You get the cost efficiencies of digital, right?
You get the safety, but critically
you still get that muscle memory, that body awareness.
You start to look at it less as a threat and more as a tool.
Simplicity is the greatest form of sophistication.
Well, don't trust the metaverse
because it's sophisticated, right?
Trust it because it may in fact be simpler.
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The reason we talk about AI and data transparency together
is because if you can see into that mechanical mind,
if you can ask it, why did you make that choice?
Then you can begin to understand it,
just like you could understand a colleague's decision making
you can do magical things with mechanical minds.
Do you think there is going to be a degradation
of trust between humans and their increasingly
smart robotic counterpoints?
One of the big considerations with AI and machine learning
is that it's used ethically.
Our research has turned up a lot around this notion
of bias in artificial intelligence.
If you train a machine on data it will do its best
to model what it's seen.
So many of our human biases are tacit.
A huge part of stamping out the group think the echo chamber
that results in that tacit bias is ensuring that
you have diversity from soup to nuts,
from beginning to end in the creation
of any of your AI systems.
And that's why Deloitte's put together
our trustworthy AI framework is a means of ensuring
that we don't accidentally teach machines
to act as we've done as opposed to as we want to do.
[suspenseful music]
The most important thing I've learned
is that technology comes last.
Tech is just a tool,
and a tools only is useful as the project it's used for.
Organizations that lead with need, they're on the right path
because all of these emerging technologies,
if they're understood, they can be trusted.
So as we think about trust, we have the ability
through new unfettered thinking to transform it
into something that is future friendly,
and has staying power now and in the years to come?
I couldn't agree more.
Erica, it's been so awesome chopping it up with you.
Thank you so much for the conversation.
[suspenseful music]
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