Biases in sentence

201 examples of Biases in a sentence

And while doing so, I was encoding all kinds of biases.

And that in doing so, we were creating more blind spots and biases that the AI could further amplify.

A second skill is equipoise, the ability to have the serenity to read the biases and failures in your own mind.

But some people have the ability and awareness of their own biases, their own overconfidence.

Now, there are several biases in risk perception.

And you can see certain biases that come up again and again.

There are a bunch of other of these cognitive biases, that affect our risk decisions.

And what these cognitive biases do is they act as filters between us and reality.

It's limited by our cognitive biases.

It shows the systematic discrimination and biases in the Indian society against women.

We have our cognitive biases, so that I can take a perfect history on a patient with chest pain.

The biases, whether intentional or otherwise, are pervasive, and so are the misleading mental images.

We're not born with an innate understanding of our biases.

We also have our own unconscious biases.

She tried to challenge those patterns and stereotypes in her work and she tried to show the challenges that journalists face from external sources, their own internal biases and cultural norms.

But this is also about something far more complex: our own unconscious biases and blind spots.

Then she said, "Choose your facts and biases and create an image of your own story of dignity."

Well, if you combine our cognitive biases with the nature of news, you can see why the world has been coming to an end for a very long time indeed.

We've got laws that fundamentally treat creative works as property, plus massive rewards or settlements in infringement cases, plus huge legal fees to protect yourself in court, plus cognitive biases against perceived loss.

Technology has this extraordinary capacity to both instantiate and continue all of our most extraordinary, often hidden desires and biases and encoding them into the world, but it also writes them down so that we can see them, so that we can't pretend they don't exist anymore.

We may like to believe that the future with so much wealth of data would be a future with no more biases, but in fact, having so much information doesn't mean that we will make decisions which are more objective.

So you're observing how it biases behavior when people become aware of their mortality.

Now, this shows that reminding people of death biases them to believe, regardless of the evidence, and it works not just for religion, but for any kind of belief system that promises immortality in some form, whether it's becoming famous or having children or even nationalism, which promises you can live on as part of a greater whole.

By what it wants, I mean, what are its inherent trends and biases?

There are errors in translation, interpretative biases, and on top of that, if you add algorithmic processes, you're going to have errors in recognition, errors in extraction, so you have very, very uncertain data.

SS: And so John is doing that because he believes it's good for his company, and so this kind of acknowledgement of these biases can change it.

These stereotypes and biases have real-world consequences, both subtle and very important.

I wanted to talk about biases, the unconscious ones and the conscious ones, and what we do.

And this means teaching ourselves to find those confirmation biases and false correlations and being able to spot a naked emotional appeal from 30 yards, because something that happens after something doesn't mean it happened because of it, necessarily, and if you'll let me geek out on you for a second, the Romans called this "post hoc ergo propter hoc," after which therefore because of which.

Because I do this work every day, and I see all my biases."

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