Grammarly 正在提供来自著名已故和在世作家的“专家”人工智能评论。
Grammarly is offering ‘expert’ AI reviews from famous dead and living writers

原始链接: https://www.wired.com/story/grammarly-is-offering-expert-ai-reviews-from-your-favorite-authors-dead-or-alive/

Grammarly现在更名为Superhuman,其功能已扩展到基本的语法检查之外,提供了一套人工智能驱动的写作工具。这些工具包括人工智能聊天机器人、释义工具,甚至还有一个“专家评审”功能。后一项功能引发了伦理担忧:它模拟了著名作家和学者的评论——包括在世的和已故的——而未经他们的同意或知情。 该工具利用经过这些人物作品训练的人工智能来提供反馈,并将其呈现为直接来自他们(例如,斯蒂芬·金、卡尔·萨根)。尽管Superhuman声称其仅仅“受他们的作品启发”并包含免责声明,但批评者认为这利用了他们的声誉,并可能侵犯版权。 对于那些未授权将其作品用于此目的的作家和学者来说,担忧正在增加,一些人称这种做法“令人发指”。目前,用于创建这些人工智能代理的“抓取”内容的合法性正受到质疑,这凸显了关于人工智能使用知识产权的更广泛争论。

## Grammarly 的 AI 写作功能引发争议 Grammarly 最近推出了一项 AI 驱动的功能,允许用户获得模仿著名作家(包括在世和已故作家)风格的写作反馈。 这在 Hacker News 上引发了激烈的讨论,许多人批评此举是试图在 LLM 时代保持相关性的绝望尝试。 用户认为,该功能根本误解了 LLM 的工作原理——它们可以*模仿*作者的风格,但无法复制其背后的创作*过程*。 鉴于 Grammarly 未经许可使用个人姓名,人们对潜在的法律问题表示担忧,包括诽谤、侵犯版权和滥用宣传权。 许多人认为这是一种“权威洗白”,利用既定名称来掩盖 AI 驱动的产品。 普遍的观点是,这种趋势代表着 AI 审查 AI 的危险反馈循环,导致平庸,并令人担忧地无视人类创造力和法律界限。 许多评论员强调了 LLM 能力的误导性描述,反对使用“学习”等术语,并强调它们仅仅是模式匹配算法。
相关文章

原文

Do you have fond memories of being a teacher’s pet? Wish you could still get notes from your favorite college professor? Dream about some implacable voice of authority correcting your every word choice and punctuation mark? Well, great news: A certain software company has engineered a way to simulate criticism not just from bestselling authors and famous academics of our time, but also many who died decades ago—and the company evidently didn’t need permission from anybody to do it.

Once relied upon only to proofread for correct grammar and spelling, the writing tool Grammarly has added a host of generative AI features over the past several years. In October, CEO Shishir Mehrotra announced that the overall company was rebranding as Superhuman to reflect a new suite of AI-powered products. However, the AI writing “partner” remains called Grammarly. “When technology works everywhere, it starts to feel ordinary,” Mehrotra wrote in his press release. “And that usually means something extraordinary is happening under the hood.”

The expanded Grammarly platform now offers an AI solution for every imaginable need—and some you’ve probably never had. There’s an AI chatbot that will answer specific questions as you compose a draft, a “paraphraser” feature that suggests changes in style, a “humanizer” that revises according to a selected voice, an AI grader that predicts how your document would score as college coursework, and even tools for flagging and tweaking phrases commonly produced by large language models. (Sure, you’re using AI to do everything here, but you don’t want it to sound like that.)

Perhaps most insidiously, however, Grammarly now has an “expert review” option that, instead of producing what looks like a generic critique from a nameless LLM, lists a number of real academics and authors available to weigh in on your text. To be clear: Those people have nothing to do with this process. As a disclaimer clarifies: “References to experts in this product are for informational purposes only and do not indicate any affiliation with Grammarly or endorsement by those individuals or entities.”

As advertised on a support page, Grammarly users can solicit tips from virtual versions of living writers and scholars such as Stephen King and Neil deGrasse Tyson (neither of whom responded to a request for comment) as well as the deceased, like the editor William Zinsser and astronomer Carl Sagan. Presumably, these different AI agents are trained on the oeuvres of the people they are meant to imitate, though the legality of this content-harvesting remains murky at best, and the subject of many, many copyright lawsuits.

“Our Expert Review agent examines the writing a user is working on, whether it's a marketing brief or a student project on biodiversity, and leverages our underlying LLM to surface expert content that can help the document's author shape their work,” says Jen Dakin, senior communications manager at Superhuman. “The suggested experts depend on the substance of the writing being evaluated. The Expert Review agent doesn’t claim endorsement or direct participation from those experts; it provides suggestions inspired by works of experts and points users toward influential voices whose scholarship they can then explore more deeply.”

Someone like King may see the advance of AI as unstoppable, and there may be nobody left to defend Zinsser’s 1976 handbook On Writing Well from the big tech vultures, but what of the countless other luminaries who still want to keep their material from being compressed into an algorithm? Vanessa Heggie, an associate professor of the history of science and medicine at the University of Birmingham, recently took to LinkedIn to share an especially grim example of how the feature works, accusing Superhuman of “creating little LLMs” based on the “scraped work” of the living and dead alike, trading on “their names and reputations.” The screenshot she posted showed the availability of analysis from an AI agent modeled on David Abulafia, an English historian of the medieval and Renaissance periods who died in January. “Obscene,” Heggie wrote.

联系我们 contact @ memedata.com