James Manyika
speaker
174 appearances
1 recordings
1 series
first heard Sep 2021
last heard Sep 2021
James Manyika’s voice in public audio — every appearance, attributed to the second.
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Appearances
In ways that we haven't quite had before, because
But one of the things I like about the bias question, by the way, that these technologies are forcing us to confront is that
It's actually forcing us to really think about what do we even mean when we say things are fair, quite aside from technology.
I think they're forcing us, just like the UBI debate is forcing us to confront the question that people don't earn enough to live, the bias question is also forcing us to confront the question of what is fair?
because what counts is fairness.
And I think all too often, I think in our society, we've tended to rely on proxies for fairness.
So when we can't define it, we'll say, well, let's constitute the right group of people, a diverse enough group of people, and we will trust the decision that they make because it's a diverse group of people.
So yeah, if that group is diverse in the way we expect it, then gender or racial or any other social income terms,
and they make a decision, we'll trust it because the deciding group is diverse.
That's just a fairness by proxy in my view.
Who knows what those people actually think and how they make decisions, that's a whole separate matter, but we trust it because it's a diverse group.
The other thing that we've tended to rely on is we trust the process.
If we trust the process that, hey, if it's gone through a process like this,
we will live with the results because we think that a process like that is fair and unbiased.
Who knows whether the process is actually fair?
That's how we've typically done with our legal system for the most part, that if you've been given due process and you've gone through a jury trial, then it must be fair.
We'll live with the results.
But I think in all of those cases, while they're useful constructs for us as society, they still somewhat avoid defining what is actually fair.
And I think when we start to deploy technologies where, in the cases of AI, the process is somewhat opaque because we have this kind of explainability challenge with these technologies.
So the process is kind of black boxy in that sense.
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