Researchers have spent years warning that text-generation algorithms can spew bias and falsehoods. Tech giants are rushing them into products anyway.
Each evaluation is a window into an AI model, Solaiman says, not a perfect readout of how it will always perform. But she hopes to make it possible to identify and stop harms that AI can cause because alarming cases have already arisen, including players of the game AI Dungeonlatest research
As more money gets shoveled into large language models, closed releases are reversing the trend seen throughout the history of the field of natural language processing. Researchers have traditionally shared details about training data sets, parameter weights, and code to promote reproducibility of results.
He credits people in the field of AI ethics with raising public consciousness about why it’s dangerous to move fast and break things when technology is deployed to billions of people. Without that work in recent years, things could be a lot worse.with OpenAI’s policy director, Miles Brundage, about the societal impact of large language models.
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