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03 28, 24, 05:02:17:PM

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Biden Does NOT need a BILL to close the border
He only needs a PEN. Thats all he needed to open it.
Thats all he needed to close it. Thats all Trump needed.
Maybe this is just Proof Trump is better than Biden.

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 |  All Boards  |  Current Events  |  Topic: Colleges Create Artificial Intelligence to Identify ‘Hate Speech’ 0 Members and 1 Guest are viewing this topic.
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Author Topic: Colleges Create Artificial Intelligence to Identify ‘Hate Speech’  (Read 167 times)
Jim
When someone claims to have an Open Mind they are soon shocked, dismayed, and offended that there actually are other views.
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What would they do without Anecdotals or Snark


« on: 08 21, 19, 02:10:53:PM » Reply

 
Turns Out Minorities Are the Worst Offenders
 
 

 
 
Researchers from the University of Cornell discovered that artificial intelligence systems designed to identify offensive “hate speech” flag comments purportedly made by minorities “at substantially higher rates” than remarks made by whites.
 
Several universities maintain artificial intelligence systems designed to monitor social media websites and report users who post “hate speech.” In a study published in May, researchers at Cornell discovered that systems “flag” tweets that likely come from black social media users more often, according to Campus Reform.
 
The study’s authors found that, according to the AI systems’ definition of abusive speech, “tweets written in African-American English are abusive at substantially higher rates.”
 
The study also revealed that “black-aligned tweets” are “sexist at almost twice the rate of white-aligned tweets.”
 
The research team averred that the unexpected findings could be explained by “systematic racial bias” displayed by the human beings who assisted in spotting offensive content.
 
“The results show evidence of systematic racial bias in all datasets, as classifiers trained on them tend to predict that tweets written in African-American English are abusive at substantially higher rates,” reads the study’s abstract. “If these abusive language detection systems are used in the field they will, therefore, have a disproportionate negative impact on African-American social media users.”
 
 
READ MORE:
https://pluralist.com/ai-censorship-cornell-study
 
D2D
Republicans believe every day is the fourth of July! Democrats believe every day is April 15!
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Posts: I am a geek!!

#SayHisName Cannon Hinnant


« Reply #1 on: 08 21, 19, 09:02:14:PM » Reply

Another of many situations where political correctness skewers its originators!
wvit1001
Sr. Member

Posts: I am a geek!!


« Reply #2 on: 08 21, 19, 09:10:46:PM » Reply

Along with the possible oversampling of tweets from African Americans, the researchers believe that this type of machine discrimination lies in the human error of those who are doing the original annotating and classification from which the machine learns. 

“When we as researchers, or the people we pay online to do crowdsourced annotation, look at these tweets and have to decide, ‘Is this hateful or not hateful?’ we may see language written in what linguists consider African American English and be more likely to think that it’s something that is offensive due to our own internal biases,” study author Thomas Davidson said. “We want people annotating data to be aware of the nuances of online speech and to be very careful in what they’re considering hate speech.”

This new information may be crucial for understanding the capacity of these types of systems to do harm and stifle voices online, but initiatives at other universities to integrate these types of systems into existing social media platforms are already well underway.

University of Buffalo and Arizona State University professors have already created a system designed for “automatically detecting prejudice in social media posts.” Their system flags posts as “having the potential to spread misinformation and ill will. 

A similar project at the University of California Berkeley is using the same type of machine learning to create an “online hate index” which could help various social media platforms to identify and eliminate “hate speech” online.

Researchers are also using machine language learning to weed out “fake news.” A system under development at the University of California, Santa Barbara seeks to help identify whether information shared by individuals is “genuine or “misleading.” They hope their system will soon be “integrated into browsers on the client side,” to streamline the reporting of “content that causes hate, aversion, and prejudice.”


https://www.campusreform.org/?ID=13560
D2D
Republicans believe every day is the fourth of July! Democrats believe every day is April 15!
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Posts: I am a geek!!

#SayHisName Cannon Hinnant


« Reply #3 on: 08 21, 19, 10:38:45:PM » Reply

Another of many situations where political correctness skewers its originators!
wvit1001
Sr. Member

Posts: I am a geek!!


« Reply #4 on: 08 22, 19, 09:13:10:AM » Reply

How so zippy?
warrenpees
Sr. Member

Posts: 20936

Stable genius.


« Reply #5 on: 08 22, 19, 09:17:45:AM » Reply

That is why live humans review items flagged by algorithms, bee-otches.
warrenpees
Sr. Member

Posts: 20936

Stable genius.


« Reply #6 on: 08 22, 19, 09:24:22:AM » Reply

You may recall that trumpies had a shitfit when Facebook took down the Declaration of Independence because the algorithm flagged the words "Indian savages".  Per Facebook's policy, a human reviewed the action and put it back up the next morning.
Jw2
Sr. Member

Posts: 54324

DJB is a closet homo


« Reply #7 on: 08 22, 19, 09:30:53:AM » Reply

It's clear that jim and the rest of the usually suspect aesopsretreat right wingers are doing their part in the hate speech category.

So, you now believe your hate speech is OK because others do it too?
Jim
When someone claims to have an Open Mind they are soon shocked, dismayed, and offended that there actually are other views.
Contributor
Sr. Member

Posts: 62174

What would they do without Anecdotals or Snark


« Reply #8 on: 08 22, 19, 12:55:10:PM » Reply

 
"You can always tell what the Left is like - by what they attempt to accuse the Right of."
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