[MUSIC PLAYING] The reason I wrote the book was to give people
hopefully a much better understanding of why they should be concerned now, why they really
need to get out of their chair and just take control.
[MUSIC PLAYING] Let's remember that Facebook is the greatest
advertising platform ever created.
They essentially have everybody with any disposable income in one network with an almost perfect
high resolution view of each one of them, with emotional triggers and all these other
things.
You know their birthday.
You know where they live, everything.
You've got their credit card information.
You've got all their location information, because you buy it from a cellular company.
So you know everything there is to know.
The targeting is magnificent.
That's why the numbers are still great.
But the other thing you can see is that they're having to load a lot more ads into people's
news feed.
In my case, every fifth or sixth post is an ad now, and that's probably doubled in the
last year.
And that's because usage is declining.
They say that the number of members is about steady, but Nielsen says that the minutes
of use are down, I don't know, 20% or 25%.
So the present is very strong for them fundamentally.
They're not going to lose the ability to be a great advertising platform relative to newspapers,
or television, or magazines.
But if they lose the trust of people, they're going to lose their attention.
And if they lose their attention, then the future for Facebook, and Google, and Instagram
is not going to be as good.
We're still early in that process.
I don't think that's going to happen anytime soon.
And the reason I wrote the book was to give people hopefully a much better understanding
of why they should be concerned now, why they really need to get out of their chair and
just take control.
When I look at what's coming in tech, these smart devices-- Alexa-based, Google Home based--
are going to come in a gazillion categories.
And they may fill the hole left by the peak and now decline of smartphones.
So that at one level is a really exciting category.
What I would like to see there is a set of rules that just determine what kind of data
can you gather, what do you do with it, and what do you have to do to protect against
hacking?
There was a story just last week that Google's Nest division, which has both thermostats
and security systems, somebody hacked up a nest device and convinced people that there
was a nuclear missile coming their way.
Well, I mean nobody got hurt, but that could have been a disaster.
So you have the worry of data leakage.
You have the worry of hacking for all those devices.
We're about to repeat the same mistakes we made with Facebook and Google.
And then you've got the whole issue with AI.
AI may be the single most promising thing to come along since the microprocessor.
And it should make the world a lot better place.
But the early approaches of it, like I described before, they ship the product as soon as they
can get it to work without really thinking through the negatives.
And if you look at the early applications in real estate, like the mortgages, there's
this concept in real estate lending called redlining-- where they would not let people
of certain religions or races into certain neighborhoods.
Well, the people who made those AI's trained the AI's with the data from the real world,
and didn't correct for those implicit biases.
So they created a black box that has all the flaws of the old world and none of the benefits.
Because how do you challenge an AI?
You can't figure out how it made the decision.
You can't appeal it.
It's just final.
Well, that's terrible.
And it's totally unnecessary.
Same thing is true in jobs.
These AI's that read resonates inherited gender bias and racial bias.
Well, seriously, I think with AI, you have to treat it like it's a new pharmaceutical.
You've got to have proof of safety, efficacy, and incrementally, you've got to get rid of
implicit bias.
The good news, you're not going to spend 10 years in a clinical trial.
We're going to create standardized software modules that are embedded in every AI.
We're going to create standardized data sets for testing for implicit bias.
We're going to plant everything.
And it might take a year or to develop those things, but then you have a standard that
everybody can use.
And everything's better.
That's what we did in chemicals.
That's why you can have really dangerous chemicals and not have to worry when you go outside,
because we've got rules.
And I think you have to protect society that way.
So I think the future for tech is bright on opportunity.
But it's so pervasive and so important in life, that we have to start to subjected to
the kind of big boy rules that you apply to every important industry.
This whole thing that boys will be boys.
OK.
So they blow up a country?
No problem?
I don't see that working going forward.
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