How To Live Our Life in Mistrust of AI Technology | Ep 7

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Trust Factor with Rob Greenley, focuses
on all aspects to building human trust in

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online communications, how to live our
life in mistrust of technology, and should

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we put our trust in captured data? About us all, Rob Greenley here

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again in episode seven, thank you
so much for joining me. The trust

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factor in your life is essential and
profoundly impacts your happiness, security and safety.

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So that's what we cover on this
show. Trust is the number one

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factor in our lives right now.
So that's why I felt it's important to

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do this show every week to give
you some things to think about trust.

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So we are also available now as
an audio podcast, and then you can

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like and subscribe on YouTube to this
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a search or trust Factor in your
a favorite podcast app. So thank you

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so much, So let's get going. The question in this episode are some

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of the most important or questions are
some of the most important and pressing and

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consequential topics in our increasingly data driven
world that we live in that is becoming

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so technology dependent. And I think
we all know what I'm talking about here.

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Technology is creeping into every aspect of
human life. So the issues of

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trust, privacy, and algorithmic bias
and the implications of AI on decision making

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processes is very important, and great
power, great potential power over human freedom

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is at stake, especially when you
think about the potential corrupt use or the

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use of this technology that can have
a lot of power in control and enablement

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of the potential of unlawful uses are
definitely possible with this technology, and I

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think we're just saying the early days
of how it can be used, and

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as we look at other parts of
the world, and you're starting to see

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that start to rear its head in
a country like China. Likely unless we

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build in to the AI limits to
its actions and create what I like to

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call an AI constitution of sorts that
basically will put limits on how it enforces

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laws and or will create its own
laws. So that's the risk. We

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need to figure out a way to
put guides in here, dislike we have

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in America with the US Constitution,
which basically sets a basic framework for the

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structure of society and how the rule
of law will fall into play and what

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we have rights to do. Now
If we don't have an AI Constitution,

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then laws could be just made up
by the AI as it grows and its

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intelligence. And if we do have
laws that we all agree to in the

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Constitution, then that AI only is
limited to enforcing those rules up to some

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set point of enforcement. So remember
that technology in of itself is neither good

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nor bad. So as we think
about technology, it's how we use it

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is what really matters, and it
really determines its value or level of trust.

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Right, So as we think about
technology just more broadly, how far

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do we trust it and what is
the value that comes from that trust are

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things that we need to think about
and can and we ever just default to

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trusting technology, but it does require
us to have an understanding and clear on

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what its limits are. And they
also the potential risks that are in there

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to provide some safeguards and how we
use this technology and how we recognize what

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the risks can be for like I
was mentioning in the prior part here,

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that technology and of itself is not
good or bad, but it can be

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used in a bad way or it
can be used to really benefit people.

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And one example that I want to
give on this is our growing trust in

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a car navigation system. So this
is just an example of how technology has

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been integrated and to some degree this
is a form of artificial intelligence of sorts,

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though it's rather limited compared what I
believe is coming in the future.

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But the Internet connected car in their
navigation systems, how much trust we as

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drivers have actually put in to those
systems when we drive our cars around.

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So just trust when we type in
an address that it's going to go to

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the destination and it's going to take
us there safely in the most efficient pathway,

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and also to do it in a
way that is safe for us too.

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And as we think about the growing
technology of autonomous vehicles, I think

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you can see where we might over
time type in the address of which the

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destination is that we're going to,
and the car will actually physically drive us

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there based on what that map is. And there is a potential risk there

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long term, as we turn over
more and more control over to the AI,

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that could put us in a situation
where there could be potential risk.

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Right, the cars driving itself based
on its own source of information about the

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destination. But maybe there's another motivation. Maybe it takes a different route,

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or it takes us into a dangerous
situation that maybe puts us at risk.

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This example that I'm giving is just
a clear example of what the dangers are

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and what's possible. Granted, I'm
not saying that the navigation systems today are

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doing anything nefarious or trying to be
harmful to us, but I have seen

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in the past where it's made mistakes, and so AI technology is not going

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to be devoid of errors. And
this gets into the next area, which

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is the data that's captured or given
to us accurate, because not all data

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collected or processed by AI systems are
completely accurate or absent of bias as well.

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So as we think about this,
AI is an imperfect tool as far

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as we know today, I think
AI system is really getting into controlling a

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lot of human behavior, and human
activity is still an undiscovered area right now,

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and it can either be good or
bad. The quality of AI outputs

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is heavily dependent on the quality of
the data that it uses or it collects,

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right, So if it collects incorrect
information through either a glitch or a

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misinterpret interpretation of data that's captured,
there is a potential of an error.

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Is the inputed data any biased at
all? Is it flawed, Is the

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output skewed? Could the output be
skewed in an incorrect way? So that's

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why it's very important that there's no
absolute trust in AI or cloud technologies for

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decision making. Can you know if
we do have this trust, it can

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lead to errors and incorrections or mistakes
or all sorts of calamity. It could

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be used for very dark things.
So we just don't know yet. I

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think we're in relatively uncharted territory at
this point. But or it could reinforce

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biases. Maybe there's biases in the
data that you can start thinking about all

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the potential uses of AI, whether
it be an employment, whether it's professional

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assessments, whether it's just the spectrum
of the potential impacts of errors as we

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turn over more control over to AI
technology is rather mind boggling and really makes

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you wonder can we really get our
heads around this? And also in the

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next factor, this is privacy of
your personal data. Right, so as

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we think about AI getting increasing access
to let's say our biometric data or our

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behavioral data or communications, you can
just kind of roll up all of the

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data that's being input it into our
mobile phones, into our computers, into

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our televisions, into our increasingly into
our autonomous driving or internet vehicles. When

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you think about all of the video
cameras that were the ring cameras, and

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all of the in home internet connected
devices that we have, that there could

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be a real issue around privacy of
your own personal data. Technology advancements have

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resulted already in severe privacy concerns,
so as we see AI getting more significant

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out there, that there is a
chance that this could become a much larger

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issue as massive amounts of personal data
are stored and processed in the cloud,

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oftentimes without the user or the user
where the data is collected from do not

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have explicit knowledge or consent to capture
that data or to store it, or

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let alone use it in combination with
other data. This could lead to misuse,

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an unauthorized access that could be used
against us or can be used for

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good as well. I think it's
very important that as we look to the

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future and AI is increasingly important,
that increasingly you, as the source of

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the data, need to be and
more control of your data. And this

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has been a debated issue for many
years in the technology sector about users owning

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their own data. And I know
that like Facebook and other platforms have given

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access to data through either a download
of a large packet file that gives you

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access to all of your data that
you put into Facebook, and things like

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that. But I think what we're
really talking about here is understanding what is

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being collected about you and what that
really means. And I'm not sure that

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we all have a clear idea of
that and who's accountable to this, who

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is the judge? As we look
to the future of artificial intelligence, is

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there a is that going to be
the government? Is it going to be

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a higher level AI that's more of
like an assessment of values or rules or

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whatever that governs other AI technology.
So we start thinking about almost like a

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government regulation governing various artificial intelligent entities
out there. As we see robots and

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we see this artificial intelligence utilized in
a lot of other places. One of

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the critical challenges with AI is what's
called the black box problem, meaning it's

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often difficult to understand how exactly these
systems are going to arrive at choices and

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decisions. They will likely lack in
transparency and can result in unfair outcomes with

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little recourse for the person's that the
outcome is inflicted upon right who is accountable

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for incorrect decisions or maybe corrupt or
improper decisions or as artificial intelligence develops,

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it starts to develop its own judgment
for things and what recourse do we have

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and who is that through? I
think is a big problem. Who has

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the final ruling of wrong actions by
AI? I think it's a valid question

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to start thinking about. And so
really the bottom line here is should we

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trust captured data about us that are
feeding the algorithms in AI. You know

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that that's a bigger question. You
would think that we could trust the data

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being captured as accurate, but maybe
it's not. I don't know that we

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have the answer to that. And
this data also goes up to the cloud

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is being put there supposedly under the
guise of helping us make better decisions in

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our lives. And this gets back
to the irrationale behind us is that I

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think there's a recognition or this perception
that the AI will be able to know

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us better than we know ourselves,
and that it will be able to make

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better decisions about aspects of our lives
and the choices that would mean, whether

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it's a medical diagnosis or if it's
a decision about a career or how to

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handle a particular situation. I think
that there's this thought that because of the

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superintelligence and the access to more complete
data, that the AI will be better

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than our own built in judgment and
our own built in algorithm of sorts that

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can make those choices, that has
been making those choice in all of our

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lives. And is the AI going
to replace us somehow in these decisions just

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based on the available access to information
about us that maybe the AI is more

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capable of processing to come up with
an outcome. We can probably shoot towards

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utilizing these AI algorithms to help us
make better decisions, but I think we

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need to take that process with caution
and skepticism. I know I've mentioned this

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in past episodes about caution and skepticism
around AI, but we need to figure

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out ways to mitigate these risks that
the algorithm will make the incorrect judgment for

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us and then somehow have the ability
to inflict that on us. And we

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need to have some process that can
foster a healthy relationship with that technology through

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this process. And I do think
that we can try and work towards promoting

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transparency in the AI realm and openness. Now granted I'm I don't know that's

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realistic. So as we think about
AI algorithms, should they be transparent?

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Should we understand how those algorithms work? And the question that I have for

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that is is it really possible for
us to understand how those algorithms they work?

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And it just may be too complex
for us to comprehend. And I'm

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not sure how we get access to
that data, and whether or not proprietary

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platforms which I am sure these will
be built on, will not want to

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publicly share their magic formula. This
could allow us though, if we were

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possible, if it was possible to
do this to allow us to understand how

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decisions. It does help us to
know what the rules are. So as

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we come with like maybe an AI
constitution or AI rules, hopefully we're gonna

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have AI rules, because if we
don't have AI rules or an AI constitution,

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then anything is possible. Anything,
any outcome is possible. Potentially,

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if the AI gets enough information about
us, and there's a various interest behind

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AI that wants to create a specific
outcome that we don't necessarily want, it

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may have the power to make that
happen whether we want it to or not,

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and that's what the danger is,
because AI with this type of power

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will be able to implement enforcement against
us. So what we need to have

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is strong privacy laws and some level
of security around these algorithms with some regulation.

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I know that there's been a large
group of AI scientists that have expressed

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this concern that to put a pause
on AI development, to develop a framework

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of rules and regulations for protecting user
data and ensuring its responsible use. And

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so I think these are very important
things, and one of the big things

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is educating users, educating us.
I want to know public awareness and education

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on data privacy and AI and cloud
technologies would be great, but can that

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be really accomplished for all humans?
Are all humans capable of comprehending the complexitiess?

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I think we have to trust humans
in their ability to guide AI and

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to oversee AI, and we need
to have escape pathways to disarm AI when

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they've gone rogue or they've gone past
their guidelines. And it's great that these

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AI tools could empower us to make
better decisions, and technology certainly has enhanced

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all of our lives. So I
think that there is some level of trust

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it's being built, but is that
trust based on true trust or is it

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based on dependency? And I think
that's where I think the danger is that

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the convenience of technology has proven like
with the mobile phone and with the navigation

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system, it's the convenience that builds
the trust, but is that trust well

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founded? And I certainly would love
to have technology analyze my like my CT

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scans or look at those type of
things that there has proven evidence that it

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has a better ability to diagnose disease
or problems then a human doctor does that

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maybe is prone to more mistakes or
not being as educated as an AI tool

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might be. It's very essential to
consider AI's limitations. Like I've said,

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it's potential risks, but we also
need to look at what's the opportunity of

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this technology to improve our lives and
if that's the goal of AI, is

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to improve our lives and to make
us healthier and to make our system much

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stronger and have a real responsible AI
that is definitely helping us in our pathway

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through life. I think that there's
an advantage there, but it does seem

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that there's a highly likely scenario that
increasingly AI tech is likely unaligned with humans.

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And I know that term unaligned is
a fairly well known term to describe

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the current state of AI technology.
And it's developing. AI technology is developing

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at its own rate, in its
own purposes that is not necessarily aligned with

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let's say an AI constitution, and
it's getting out of alignment or maybe it's

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never been in alignment with humans and
what are important to humans now. Granted,

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most of AI's technology is based on
human learnings, and so AI is

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going to know us. This is
true. Over time, AI is going

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to know us better than we know
ourselves. And that's the real danger and

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opportunity of AI technology. And that's
where this mistrust comes into play. We

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need to be skeptical of AI technology
because we're going to need to live in

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an era of mistrust until the AI
can prove to us through us being diligent,

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that AI can be trusted in all
situations. I just don't know that

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this is an AI that was built
by humans. Humans are known to have

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dark sides or evil sides or corrupt
sides as well as good sides, depends

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on who you're talking about and it
and that's going to vary with AI technology

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too. There's going to be some
AIS that are let's say, maybe used

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in the military, that you know, are taught how to do certain things

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that may be violent. And then
there's other AIS that are going to be

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built that are more social AIS and
that are much more about surveillance, control

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and enforcement of the laws. And
so I think there's going to be this

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spectrum that we have to deal with
that is going to be coming in the

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future that needs to be thought about, and we really need to dig into

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it. And that's part of why
I'm doing this shows that I want to

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be able to communicate dig into these
topics, and I am going to be

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diving into a lot more AI topics
in the future, and even another show

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that's being contemplated right now that'll be
focused on AI technology, but that's a

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separate opportunity or separate show from this. But this show will ride along with

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that too, because I do believe
over the next few years, this AI

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topic will be one of the if
not the top issues around trust in our

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world today, and increasingly, to
take this back to the human level,

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I believe humans need to focus on
finding ways to trust each other more and

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building trust as well. Separate from
technology, but that is increasingly becoming more

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difficult. So that's the main topics
of the show this week. And I

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appreciate you being here and listening,
but I did want to cover really quick

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a couple of comments and show feedback
from episode six. Melanie Flavie, all

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our data is at the mercy of
our many corporations, so it's hard to

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find the balance between using technology and
trusting that our data will not be misused.

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Yeah. I think that cuts to
the heart of this whole issue around

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our data privacy and these AI tools
getting access to it and then being used

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or misused or in benefit used.
So I think we have to look at

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this in a balance way. And
I agree with you, Melanie. I

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think that is the question of the
time. And Ross Brand wrote, so

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much trust in our experts and institutions
has been lost, So this is another

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great point, Ross, and I
appreciate you raising this is that one of

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the reasons that I am doing this
show, this Trust Factor show, is

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because I've felt that too. I
felt like over the last two years there

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has been so much loss of trust
in every institution and in many relationships,

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the corporations, just organizations across the
board. That have proven to be or

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exposed to be either corrupt or have
done things wrong or harmed people. And

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there's other humans out there that are
out there causing havoc and increasing crime makes

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people distrust each other, and that's
the big thing that's going on right now.

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I wanted to mention also, and
I appreciate Melanie and Ross for the

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feedback, and I certainly look for
as much feedback as I can. I

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will definitely talk about it on the
show. Just give me feedback in the

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comment fields on YouTube or in the
podcast apps, or actually I think you

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can do it in Facebook and some
of these other platforms where we post links

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to episodes and then you can go
in and make a comment about what you've

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heard in this show. Because I
do want to create a feeling of community

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here with this show and get your
ideas and your concerns and talk about them

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on this show as well. So
I'm also on Twitter too, so you

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can post comments over there and let
me know your thoughts and what other topics

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that you might be interested in hearing
about. I'm also on LinkedIn too and

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on Facebook as well, but my
Twitter address is at Rob Greenley and then,

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like I said, you can join
me back here hopefully in the next

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episode, and thank you for joining
me in this one. On episode seven,

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I'll be back with another episode that
will dive even deeper into this topic,

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and maybe I can find a couple
other topics that would be of interested,

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not just about technology, but about
other aspects of life and what we're

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all experiencing, because I'm trying to
make this show about how I'm feeling to

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some degree and how I think that
is being felt by so many others,

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and I just feel like there needs
to be a place to talk about these

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things and get the word on I'm
not trying to be politically a flamethrower on

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anything. I'm a technologist mainly,
I'm a marketing person. I think a

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lot about our societal impacts of technology
because I've been involved it for so long.

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And like I said, thank you
so much for joining me here again,

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and look for me on YouTube and
also on Sprinker as an audio podcast,

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so you can get this show as
an audio podcast as well, and

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this show airs on YouTube every Monday. Thank you so much, and I

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look forward to having you back with
me next week, or you can send

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me an email too if you want
to send me an email with feedback,

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just Rob dot Greenley at gmail dot
com, which is a terrific way to

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reach out to me too and give
me feedback and I'll talk about your comments

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on the show. So thank you
so much. I appreciate your time. Thanks