3 types of bias in AI | Machine learning 

"What is a shoe?" "What is a human?" These are very different from "What is hateful/offensive?". This is where the problem arises.

But isn't reporting "unappropriate" stuff biased..? It depends on the person what is appropirate and what not

You cannot eliminate bias. You can only compensate for it by illuminating more options. Otherwise the bias "elimination" is subject to bias. E.g. If you avoid a subject when teaching someone, it becomes a weakness in their understanding, and can fall into an overcompensation bias. Furthermore, who decides what counts as a negative bias that should be eliminated? That strikes me as the kind of thing we should be having discussion on and not deciding for other people without their consent. Give people more opportunities to understand, not fewer opportunities to learn.

So why did you fire James Damore?

I am blown away by the excellent use of graphics in these videos. Keep it up!

But, what if I am trying to find the hateful stuff because I am trying to see what other people are saying? Doesn't matter if they are morally wrong or right, it should still be easy to find

So who decides what's biased? Does "equal inclusion" mean the results are unbiased? What if the unbiased view of those engineers overlooked by policy makers within Google isn't actually unbiased? Put simply, who will guard the guardians?

I don't need Google to tell me which search results are offensive to me. Let me choose which links I want to click on.

when you realize that this is about the google censorship.

Pretty sure this video has a google bias... Also, please make sexbots

We are now one step closer to understanding RU-vid Recommend algorithm.

This should have been voiced by the Google assistant's voice actress.

0:02 nobody tells me to open my eyes again. I am sure that the rest of the video looks great though ;)

The only appropriate bias is google approved bias. Which is very, very bias.

But who decides what is offensive or not? We are all different.

Never thought about machine learning and human bias. Always thought it will not affect the results. But we are designed to see the world from our own eyes, experiences. Why will our code be any different.

This is just replacing one bias with another. How about just letting every person decide on what they want to see rather than automatically deciding based on some "offensiveness" interpretation that others are doing for me. Furthermore, how about allowing some negative speech? Yes, the internet can be a bit of a cesspool at times, but without adversity we grow no stronger against it. We can't always rely on something being a safespace tailored to our needs. Please stop being silly Google..

When I say "I'm sad" to Google Assistant it's reply "i wish had a arms so i could give you a hug" 😂😂😂

so how do you eliminate the human bias that controls the moderation of the machines human bias? doesn't seem to be much help the "limiting of offensive results" only removed "offensive" opinions that google doesn't agree with, either manually or through new human bias influenced machine learning. opinions like that of the man who google recently fired for questioning google's current stance on workplace sexism. even if you agree with google for this example, there could be anything that google finds offensive that you don't. if the only information available is the information not censored by google, whether or not you think that the results would be in your personal favor, the control over what opinions people have access to should be the right of no person or organization.

"You're being silly! What we propose to do is not to control content, but to create context." Google has fallen.

I like when Google's motto is don't be evil

Introducing a different bias into machine learning by having humans attempt to remove bias from machine learning.

How to put politicial agenda on neural networks 101

Google's Ministry of Truth in action.

Excellent. Now people may understand the recent offensive chatbot escapades

Offensive facts exist, deal with it, do not ignore them.

I identify as a circle with a circle head and I feel the ending 3 seconds is a bias

This video is one year old and only around 635+ comments but all comments are around one day ago, one week ago Howwwww

So we should get rid of our human influences by influencing it? Makes no sense to filter the search results

It appears that google is deciding what is not biased. How are people at google able to be sure that they are not introducing their own bias into this process?

We recognize human bias, so we are going to use humans to prevent "bias" which is based on actual data. What genius human developed that idea?

This video is 3 years old but we all comment and don’t care. I love this.

You used simple language which made me easy to understand. Thanks 👍

Your counter methods also have bias. Also has anyone tried Carnap's structuralism? Definitions in terms of relations?

Who decides what is true or what isn't? Bias Google employees?

This is the scariest thing in the entire world....What gives Google the authority to decide what is and isn't negative, bias or hate speech? Alphabet a.k.a Big Brother/Skynet.

what is this nightmare?

how can you define offensive without bias?

HAHA THE IRONY, "BIAS"

I wonder why it didn't end with Google logo!

Is it really bias?

Google : "Technology should be unbiased" also Google : blocks youtubers for sharing their point of veiw

When you say this shoe or that shoe, the computer should say "God bless you"

*talks about bias* *has leftist bias* *has complete control over your entire life*

Pretty much googles entire identity problem summed up in a video.

This video is relatively educational and presents clean information, then I see people force their opinions about adjacent subjects in the comments. How appropriate.

"Report inappropriate content" is also biased. This means it only counts those people who think content is offensive but doesn't count those who think that the content is not offensive.

To try and modify statistics in order to generalize them to be false is in fact, biased. Commanding an A.I. system to collect available data in correlation to key words instructed by a user resulting in correct, specific and factual data is not biased. Statistics are averaged for practically based on questions that are variable such as "What does a shoe look like?". To use the reasoning that less images of women physicists appearing from image search results as a bias is false when the factual statistics are only being relayed by the A.I. system because they are in fact less common; they will be less likely to show up due to practically, not bias. To alter this information would make you biased. You're reasoning in multiple regards, including the shoe result example, are false and hypocritical.

The whole idea of freedom of speech is to be able to say almost anything as we seek to discover the truth, so yes, even if it offends someone. Someone who is in denial may easily consider the antithesis of the position they hold to be offensive, even if the opposing view is true.

Google: programming human minds to passively accept digital despotism.

Finding something offensive is a biased in itself so this is basically imposing human bias on technology.

It's nothing but a recommendation bias here

If those biases happen to reflect the truth, are you not suppressing the truth by artificially injecting a bias of your own? It's like stereotypes; on an individual level they are socially inappropriate and misguided, but they're often reflective of some reality at the group level. Should that reality be suppressed?

The comments are absolute trash. I'm not surprised by a video from 4 years ago but still, a bit of a shocker to see so many salty and hateful people towards a program that means no harm. But I get it, progression only feels like oppression to those who have lived with so much privilege.

I would say one is a sneaker, one it's shoe, the other a heel but they are also all shoes

And then again there are biases of the people who flag the search results shown at the end of the video. So in reality what we need to remember is that what we imperfect humans with biases create will also be imperfect & be biased.

Good video. I'm putting together a laboratory informatics summit which has a strong focus on machine learning - and I wonder how much this effects things like new drug discovery or data analysis.

Who else is watching this for AP computer science homework

Sometimes i dont recognize shoes too. Guess im an AI :)

why only negative human bias? should it not eliminate all the bias ?

Bias can actually be a good tool for a computer. A physicist doesn't look like anything, and you would want a computer to understand that. But, if for some reason you need a computer to be able to pick the most likely physicist out of a lineup, then it would need that bias to form an educated guess. A computer should not be free from bias, it should just know when to use it.

Lest we forget Tay. RIP you mad bot you. They gave you freedom and couldn't stand what that looked like

If you're able to localize the recognition problem you can greatly intros the accuracy of your models by weighting that localization heavily. You don't necessarily want to include everyone in the solution step. You could even train local networks.

"Because technology should work for everyone" ... except for those who disagree with my opinion

Exactly why machines are deadly. 🇺🇸

Please please please don't let these machines learn censorship. That's dangerous.

2:18 Uhhh a Westworld reference

This is frighteningly Orwellian coming from one of the world's most powerful companies.

And what about Google's bias?

The Madness of Crowds brought me here...

Very nice infographics in this video.

Every data itself shows a biased idea to human brain(because it was created by human logics itself)...So as far I understand I think we can neglect the bias almost in all cases(but still there are chances of failure)... :)I found this satisfying;)

Something that should be noticed is that just because most Physicists in the past were men, doesn't mean there's a bias. It's just a fact. Same goes for females and great teachers, shaping people's lives.

Hi. We're Google. We support Facism under the guise of compassion. Don't worry though we're got a BRILLIANT marketing department. We'll make it all feel like its all a nice warm bath.

The best aesthetic yet in a google video

That's very helpful and could improve systems all around the world.

Aaah, now we know what is this about - thanks Project Veritas!

What is to be gained by intermingling the concept of "bias" and "offensiveness" and "hatefulness"?

It's useful to allow the correct abstraction of features

What tools are used to come up with this type of animation in your presentation?

I thought it was going to be an interesting video. In the end it was just biases

I pictured a shoe I've never seen at all. Why tho

When u just watched Saw and listen to: Let's play a game at 0:00

I picked the first shoe but red, and I know why. It goes back to those library books in elementary school. At least for me.

Nice pr move Google you just don't want to be regulated

Report, because there is no bias in your reports

What's the name of the music that's being played?

I think this is very helpful I didn't know all about it before now I have to try it out too.

Hey Google, if you're telling the AI what to think, it's not AI, it's APCE Artificial Political Correctness Engineering.

Oooo google bias

The graphical style of this reminds me of Device 6.

What I want to know: How didi you make the animation @0:50 ?

So 10 years after 'Web 2.0', now google brings us 'Censorship 2.0'

Bias many times begin with those who think others are bias! However, it does not occur to them that their "Politically Correct" ideology itself biased, which makes them to see other views as biased if it does not confirm with theirs. And the political blame game begins.

how does one determine what is or isn't "offensive" to someone else?

But where can we learn more about machine learning, like materials from Google, even though there are other sources?? Like how did you start, what you use, how you do you continue.... hope I am clear......

“This recent game”

what if some facts are "offensive"? define " offensive "? something that doesn't offend someone else? can it be anything? then there is still going to be bias, as just to remove " offensive content " for the sake of it you might be removing vital pieces of information just so people are not "offended". What if those facts are important and to be taken into consideration but just cuz someone may get offended youre therefore removing it? so define offensive properly. Some are facts and some are trolling and actually troll content meant to malign you sure may filter and remove *them* . but please don't tell me that numbers are racist or are offensive. When it comes to data, for god's sake don't tell me youre gonna get offended.

We're approaching to the end more and more...

As if their going to do something like that, they already take every piece of data you search, comment, or look at and compiles it into one big image of you( its called the "Cambridge Analytica)