These Women Tried to Warn Us About AI

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She worked on a paper about the dangers of large language models (LLMs), generative AI systems trained on huge amounts of data to make educated guesses about the next word in a sentence and spit out sometimes eerily human-esque text.

Gebru and her colleagues have also expressed concern about the exploitation of heavily surveilled and low-wage workers helping support AI systems; content moderators and data annotators are often from poor and underserved communities, like refugees and incarcerated people.

Google AI head Jeff Dean acknowledged that the paper “surveyed valid concerns about LLMs,” but claimed it “ignored too much relevant research.” When asked for comment by Rolling Stone, a representative pointed to an article from 2020 referencing an internal memo in which the company pledged to investigate Gebru’s exit.

In August, with support from the White House, Humane Intelligence co-led a hackathon in which thousands of members of the public tested the guardrails of the eight major large-language-model companies including Anthropic, Google, Hugging Face, NVIDIA, OpenAI, and Stability AI.

In 2018, a member of her team interviewed an older Black woman with the pseudonym Mellow who struggled to find housing through the Coordinated Entry System, which Gangadharan explains functions like a Match.com for the unhoused population of Los Angeles.

Buolamwini’s Algorithmic Justice League looks at the harms caused by the TSA’s expansion of facial-recognition technology to 25 airports across the U.S. Gangadharan is studying surveillance, including AI-enabled, automated tools at Amazon fulfillment centers and its health effects on workers.

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