Can't quite believe I'm writing this: Today, 150 African workers behind ChatGPT, TikTok and Facebook voted to unionize at a landmark meeting in Nairobi.
These AI workers are invisible, underpaid, and the backbone of the tech in all our pockets:
New: Facebook staff flagged a post by a BJP politician as hate speech internally, but left it online for more than a year until I got in touch to ask about it.
My investigation:
Exclusive: India’s ruling party is creating WhatsApp groups on an industrial scale ahead of elections this spring. My investigation found those group chats include widespread fake news and religious hatred (THREAD)
time.com/5512032/whatsa…
BREAKING: Today, Facebook (Meta) and Sama received legal letters accusing them of multiple violations of Kenyan law, and impending lawsuits, as a result of details revealed in my recent story (thread!)
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Their working conditions reveal a darker side to the AI boom: that AI often relies on hidden, low-paid human workers who remain on the margins even as their work contributes to a multibillion-dollar industry. (6/8)
“We will never come back here,” Mohammed Efaz, a Muslim preparing to flee Delhi, told @TIME on Saturday. “The divide between Hindus and Muslims is unbridgeable now.”
After the Delhi riots, what next for India's embattled Muslim minority?
These workers were tasked with reading and labeling text that described, often in graphic detail, situations like murder, child abuse, rape, animal abuse, torture and self harm
Content warning: this screenshot includes a description of sexual abuse (2/8)
🚨NEW:
At Facebook’s external content moderation facility in Africa, employees describe traumatic working conditions, alleged union-busting, and pay as low as $1.50 per hour, my investigation found.
🧵Thread (1/)
The purpose of their work?
Well, without a filter over the top, ChatGPT would spew racism and sexism, just like its predecessor GPT-3.
These Kenyan workers were helping OpenAI build that filter. (3/8)
The lowest-paid among them earned a minimum of $1.32 per hour after tax. Some said they were mentally scarred by what they read, and described mental health support as both inadequate and difficult to obtain. (5/8)
To get there, OpenAI first needed labeled examples of different types of toxicity: sexual abuse, hate speech, and violence. Every day, these workers told me, they were expected to read and label up to 250 snippets of these types of material. (4/8)