Business Insider recommended nonexistent books to staff as it leans into AI
But less than a year ago, the company had to quietly apologize to some staff for accidentally recommending that they read books that did not appear to exist but instead may have been generated by AI.
In an email to staff last May, a senior editor at Business Insider sent around a list of what she called 'Beacon Books,' a list of memoirs and other acclaimed business nonfiction books, with the idea of ensuring staff understood some of the fundamental figures and writing powering good business journalism.
Many of the recommendations were well-known recent business, media, and tech nonfiction titles such as by Andrew Ross Sorkin, by James Stewart, and by Mike Isaac.
But a few were unfamiliar to staff. by former Target CEO Gregg Steinhafel was nowhere to be found. Neither was , which was supposedly published by the company Charles River Editors in 2019. Semafor could not find any evidence that either book exists.
The list also recommended a book called , supposedly written by an author named Jasper Robin. While a Goodreads page exists for the book, which claims it is only 61 pages long, the page has no reviews or other information. It is not available for purchase on Amazon or from any other retailers.
Another recommendation was by Fredric Morgan, though no such book exists. The company likely meant to recommend by Ron Chernow. by Andrew MacCarthy was on the list of suggested reads, though no such book exists. (BI could have been meaning to recommend by Scott Perry, a how-to guide for how to use the photo messaging platform.)
The company also recommended by someone named Celeste Olivier, published in 2008. The real version was written by Larry Gerston in 2003.
A Business Insider spokesperson declined to comment.The embarrassing incident was shared with Semafor last week after the company said it was doubling down on AI amid steep staff reductions. In a note on Thursday, CEO Barbara Peng said that the company had launched multiple AI-driven products including gen-AI onsite search and an AI-powered paywall, and would soon be rolling out additional products. She also noted that 70% of staff were already using enterprise ChatGPT, and the company was building 'prompt libraries and sharing everyday use cases that help us work faster, smarter, and better.'
'The media industry is at a crossroads,' Peng wrote. 'Business models are under pressure, distribution is unstable, and competition for attention is fiercer than ever. At the same time, there's a huge opportunity for companies who harness AI first. Our strategy is strong, but we don't have the luxury of time. The pace of change combined with the opportunity ahead demands bold, focused action — and it's our chance to lead the pack.'
Some employees have been wary of the incorporation of AI into everyday work tasks, believing that the company will eventually replace journalists with AI. In a statement after the move, Business Insider's union expressed frustration with the cuts and the simultaneous embrace of AI.
'Tone deaf doesn't even begin to describe this,' the union wrote.

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The Draw of Chatbots for Mental Health Data shows we're facing a massive shortage of mental health workers, especially in remote and rural areas, said psychologist Elizabeth Stade, PhD, a researcher in the Computational Psychology and Well-Being Lab at Stanford University in Stanford, CA. 'Of adults in the United States with significant mental health needs, only about half are able to access any form of treatment. With youth, that number is closer to 75%,' said Jessica Schleider, PhD, a child and adolescent psychologist at Northwestern University in Chicago. 'The provider shortage is clearly contributing to why so many folks are turning to their devices and, now increasingly, to generative AI to fill that gap.' Unlike a therapist, a chatbot is available 24/7. 'When [people] need help the most, it is typically after hours,' said Wright, who suggested the right AI tool could potentially supplement human therapy. 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But often, the data they're trained on is not representative of minority groups, leading to bias and technology-mediated racism, Willis said. 'We know that Black and brown communities are not adequately reflected in the majority of large-scale mental health research studies,' Willis said. So a chatbot's clinical symptom information or treatment recommendations may not be relevant or helpful to those from minority backgrounds. There's also an impersonal aspect. Chatbots do what's called ecological fallacy, said H. Andrew Schwartz, PhD, associate professor of computer science at Stony Brook University in Stony Brook, NY. They treat scattered comments like random data points, making assumptions based on group-level data that may not reflect the reality of individuals. And who's accountable if something goes wrong? Chatbots have been linked to cases involving suggestions of violence and self-harm, including the death of a teen by suicide. Some chatbots marketed for companionship and emotional support were designed with another incentive: to make money. Wright is concerned that they may unconditionally validate patients, telling them what they want to hear so they stay on the platform — 'even if what they're telling you is actually harmful or they're validating harmful responses from the user.' None of these conversations are bound by HIPAA regulations, either, Wright pointed out. 'So even though they may be asking for personal information or sharing your personal information, they have no legal obligation to protect it.' The Psychological Implications of Forming Emotional Bonds With AI In an opinion article published in April in the journal Trends in Cognitive Sciences, psychologists expressed concern about the long-term implications of forming emotional bonds with AI. Chatbots can replace users' real relationships, crowding out romantic partners, co-workers, and friends. 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