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Fortune
Fortune
Jeremy Kahn

The problem with 'human in the loop' AI? Often, it's the humans

A man and robot sitting opposite each other. (Credit: Getty Images)

Welcome to Eye on AI. In this edition…AI is outperforming some professionals…Google plans to bring ads to Gemini…leading AI labs team up on AI agent standards…a new effort to give AI models a longer memory…and the mood turns on LLMs and AGI.

Greetings from San Francisco, where we are just wrapping up Fortune Brainstorm AI. On Thursday, we’ll bring you a roundup of insights from the conference. But today, I want to talk about some notable studies from the past few weeks with potentially big implications for the business impact AI may have.

First, there was a study from the AI evaluations company Vals AI that pitted several legal AI applications as well as ChatGPT against human lawyers on legal research tasks. All of the AI applications beat the average human lawyers (who were allowed to use digital legal search tools) in drafting legal research reports across three criteria: accuracy, authoritativeness, and appropriateness. The lawyers’ aggregate median score was 69%, while ChatGPT scored 74%, Midpage 76%, Alexi 77%, and Counsel Stack, which had the highest overall score, 78%.

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