Karen Hao
Karen Hao
Demystifying AI @techreview. fellow @KSJatMIT & @TAPP_Project @BelferCenter. formerly @qz & @MIT. ask for my Signal at the contact link below.Source
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How the AI industry profits from catastrophe

How the AI industry profits from catastrophe

You need to enable JavaScript to view this site.This story is part two of MIT Technology Review’s series on AI colonialism, the idea that artificial intelligence is creating a new colonial world order. It was supported by the MIT Knight Science Journalism Fellowship Program and the Pulitzer Center.It was meant to be a temporary side job—a way to earn some extra money. Oskarina Fuentes Anaya signed up for Appen, an AI data-labeling platform, when she was still in college studying to land a well-paid position in the oil industry. But then the economy tanked in Venezuela. Inflation...

April 22, 2022
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How Facebook and Google fund global misinformation

How Facebook and Google fund global misinformation

You need to enable JavaScript to view this site.Myanmar, March 2021. A month after the fall of the democratic government.A Facebook Live video showed hundreds of people protesting against the military coup on the streets of Myanmar.It had nearly 50,000 shares and over 1.5 million views, in a country with a little over 54 million people.Observers, unable to see the events on the ground, used the footage, along with hundreds of other live feeds, to track and document the unfolding situation. (MIT Technology Review blurred the names and images of the posters to avoid jeopardizing their...

November 27, 2021
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AI researchers need to stop hiding the climate toll of their work

AI researchers need to stop hiding the climate toll of their work

You need to enable JavaScript to view this site.The Allen Institute for Artificial Intelligence (AI2) is proposing a new way to incentivize energy-efficient machine learning. Exploding footprint: More researchers are sounding the alarm about the growing costs of deep learning. In 2018, OpenAI showing that the computational resources required to train large models was doubling every three to four months. In June, found that developing large-scale natural-language processing models, in particular, could produce a shocking carbon footprint. The trend is driven by the research community’s...

August 4, 2019
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The coronavirus is the first true social-media “infodemic”

The coronavirus is the first true social-media “infodemic”

You need to enable JavaScript to view this site.On January 19—a week before the Lunar New Year—Tommy Tang left Shenzhen with his girlfriend to visit her family in Wuhan for the holiday. They had heard of the novel coronavirus (now officially known as COVID-19), but as far as they knew, it was localized to a small area. The local government had assured people that it would only affect those who visited a specific food market and contracted it directly from wild animals. But on the night of the 20th, Dr. Zhong Nanshan—the same doctor who first revealed the extent of SARS in 2003—went on...

February 13, 2020
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AI still doesn’t have the common sense to understand human language

AI still doesn’t have the common sense to understand human language

You need to enable JavaScript to view this site.Until pretty recently, computers were hopeless at producing sentences that actually made sense. But the field of natural-language processing (NLP) has taken huge strides, and machines can now generate convincing passages with the .These advances have been driven by deep-learning techniques, which pick out statistical patterns in word usage and argument structure from vast troves of text. But a from the Allen Institute of Artificial Intelligence calls attention to something still missing: machines don’t really understand what they’re writing...

March 3, 2020
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How Facebook uses machine learning to detect fake accounts

How Facebook uses machine learning to detect fake accounts

You need to enable JavaScript to view this site.In 2019, Facebook took down on average fake accounts per quarter. Fraudsters use these fake accounts to spread spam, phishing links, or malware. It’s a lucrative business that can be devastating for any innocent users that it snares.Facebook is now releasing details about the machine-learning system it uses to tackle this challenge. The tech giant distinguishes between two types of fake accounts. First there are “user-misclassified accounts,” personal profiles for businesses or pets that are meant to be Pages. These are relatively...

March 10, 2020
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