How to pronounce“biases”in English

biases of others where I think skepticism in its broad modern popular sense I've just you know don't believe

biases that they learn at home.

biases that they learn at home.

biases or habits or assumptions onto other cultures whether it's Pro or con

biases um particularly if what you're deciding is something that you really

biases are these the the real culprits or or is it something a little bit deeper is it something maybe older that might be harder to override so we

biases under the assumption that effective remedies for other biases will be forthcoming, that they

biases that hinder maximizing the benefits of collaboration.

biases okay that is the that is that is the way that the traditionalists have viewed this which kind of tells us that in order to make these consequential

biases to your evaluative processes in this day and age, shame on you.

biases we're worried about institutions are also multifaceted when we're talking about local government and local governance uh there's women's

biases uh frankly that can exist um and i think that that's it's bad for

biases creep in because i'm interested you know in planets around other stars and i would say i would disagree that you

biases uh and that's that's really one of the strengths of of the ai approach yeah can you at a high level

biases that we think would be problematic so for instance like we

biases that may affect the function in various robotics systems can you talk through if you remember examples or some there's a lot of examples I use what is

biases and its predisposition to be persuaded by you know buys but more

biases you know obviously so in other words if you develop an emotional relationship with the machines do all of a sudden you start are more likely to

biases us understanding our own cognitive biases and how they work and then how machines work and how do we use them to complement and sit basically so

biases associate associated with your network is using something called variable it's a state fold operation I'm going to switch back

biases are stored so that later you can you know load this network up and do

biases.

biases often we initialize them to zero.

have biases, tendencies.

whatever biases he has.

and biases.

potent biases and they all really influence the way you are perceived, particularly when the perceiver isn’t really motivated to be accurate about you or is only getting really

Well biases are one of the most interesting phenomena in evolution and I would go as far as saying there's nothing that's not a bias.

So biases are essential.

the biases of juries especially in southern states and places where their discrimination is still rampant you deal with politicians and some uh District

these biases are in place and how can we design policies that can accept them and

of biases and so the policy implications are first just that you know should we allow these kinds of things out there probably we're never going to overcome

Take biases, we know humans are biased.

and biases and all of that.

The biases only survive if there is no data in other words.

specific biases that we leverage so to speak but first just to give some concreteness to this idea what we did was we in different interventions we've

other biases which I'll get to later on okay and the third one is where you're going to have this goal about remembered utility and that is you want to learn

By biases, you mean, in terms of.

and biases and so on and so forth, and I had to prove my humanity time and time again.

uh biases and and preconceptions and and you know it's an all eye of the beholder kind of thing but when you're talking about ideological

cognitive biases actually that mean that there are certain types of problems that we handle very well and certain certain types of problem that we are

data biases and society tries to make unbiased models like on gender race and

of biases, so nothing is ever that pure.

Qualifications are simply biases that we've all agreed to and written down.

We're subject to biases in our thinking.

How many biases are out there?

It's 235 biases mapped across 17 million PubMed papers.

How many of these biases do I think ahead of time when I design a new study?

very important positive biases which means that not only is most of the preliminary literature are going to be