Posted on 08/12/2020 5:11:20 PM PDT by Olog-hai
Confronted with an onslaught of social media posts filled with misinformation and harmful content, Facebook said Tuesday it has begun to rely on artificial intelligence to boost its efforts to evaluate whether posts violate its policies and should be labeled or removed.
AI is being used to rank content on its platforms involving self-harm, sexual exploitation, and hate speech. However, content will still be evaluated by human moderators, regardless of whether the offending posts are reported by users or detected by the companys proactive systems.
Guy Rosen, Facebooks vice president of integrity, told reporters on a call Tuesday that the company would be shifting toward more content being initially actioned by our automated systems, but would continue to rely on humans to review posts and train artificial intelligence.
Facebook came under fire earlier this summer when it decided to leave up a post from President Trump that appeared to incite violence in the wake of protests following George Floyds death in Minneapolis.
(Excerpt) Read more at cbsnews.com ...
(Insert your Evil AI Reference of Choice Here)
The problem is lefties are ‘training’ the ‘AI’ - rules-based neural-networks.
Boy they sure do sound like a PUBLISHER now!! Start the Lawsuit Brigade
I think it sad that people still use FB.
Correct. GIGO.
Liberal biased “coding” is still contrary to logic and reality, natural or artificial.
Not rocket surgery.
def filter_orange_man(text)
if (sentiment_bias
(text,’TRUMP) = ‘positive’)
block(text)
decrement
(text.src.id.social_score)
return()
Facebook is evil.
FaceNet became self-aware on...
China has done this too on their social media. According to a Chinese speaker I know, this has spawned a whole style of writing in which the author makes his or her politically problematic point in a way that will evade the AI censor software.
Certainly is artificial, cause it isn’t intelligent.
AI is not neutral. It will literally create systemic biases based on the biased data selection used to train it, the further “refinement” by liberally biased Big Tech programmers ... and in the ultimate seal of approval, it wouldn’t be put into a production environment unless it did what those in power want it to do.
Agreed. The far-left biases are built into the system from the far-left data sources they select to the trainers who “refine” it to the final decision to implement it.
Examples:
* Comment moderating AI were trained by programmers who thought Huffington Post and New York Times were neutral data sets.
* Hate speech flagging via Amazon Mturk uses far left definitions, that to criticize illegal immigrants or use that term is racist.
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