×
AI-authored book sparks fear among creative professionals amid copyright questions
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

An AI-generated book mimicking a technology journalist’s writing style demonstrates both the capabilities and limitations of current AI writing tools, while highlighting broader concerns about AI’s impact on creative industries.

The experiment setup: A technology journalist received an AI-written book about herself as a Christmas gift, generated by BookByAnyone using basic prompts provided by a friend.

  • The 240-page book, titled “Tech-Splaining for Dummies,” attempted to replicate the journalist’s writing style and incorporated publicly available information about her
  • BookByAnyone has sold approximately 150,000 personalized books, primarily in the US market
  • The service uses proprietary AI tools based on an open-source large language model

Content analysis: The AI-generated book revealed both impressive mimicry and notable shortcomings in artificial intelligence writing capabilities.

  • The book successfully captured aspects of the journalist’s conversational writing style
  • Notable flaws included repetitive content, verbose writing, and factual “hallucinations” such as repeated references to a non-existent pet cat
  • Each book includes a disclaimer stating it is AI-generated fiction intended for entertainment

Industry concerns: Creative professionals worldwide are expressing growing alarm about AI systems being trained on their work without consent or compensation.

  • Ed Newton Rex, founder of Fairly Trained, emphasizes that AI training data consists of human creators’ life works, including books, articles, artwork, and music
  • Several high-profile incidents have occurred, including an AI-generated song featuring unauthorized Drake and The Weeknd voices that went viral
  • Major organizations like the BBC have blocked AI developers from accessing their content for training purposes

Regulatory landscape: Governments are grappling with how to regulate AI’s use of creative content, with different approaches emerging globally.

  • The UK government is considering allowing AI developers to use creators’ content unless rights holders opt out
  • President Trump has repealed Biden’s executive order on AI safety requirements
  • Multiple lawsuits against AI firms, particularly OpenAI, are challenging the legality of using copyrighted content for AI training

Market dynamics: New players are emerging in the AI space, challenging established companies and raising additional concerns.

  • Chinese firm DeepSeek has become the most downloaded free app on Apple’s US App Store
  • DeepSeek claims to have developed its technology at a fraction of the cost of competitors like OpenAI
  • The company’s rapid rise has sparked security concerns and questions about US dominance in AI

Future implications: While current AI-generated content shows clear limitations, the rapid pace of technological advancement suggests significant improvements are likely.

  • The experiment reveals that AI still struggles with maintaining consistency and accuracy in longer-form content
  • However, the technology’s rapid evolution raises valid concerns about the future role of human writers and other creative professionals
  • The debate over fair use, compensation, and consent in AI training remains unresolved and increasingly urgent

Looking ahead: The intersection of AI capabilities and creative rights presents a complex challenge that will require careful balancing of innovation with protection for human creators.

How an AI written book shows why the tech 'terrifies' creatives

Recent News

Plexe unleashes multi-agent AI to build machine learning models from natural language

Plexe's open-source tool translates natural language instructions into functional machine learning models through a collaborative AI agent system, eliminating the need for coding expertise.

Claude outshines its rivals in high-pressure AI interview test

Hands-on experiment reveals Claude 3.7 Sonnet outperforms competitors with superior analytical thinking and professional communication in simulated hiring scenario.

How AI lets startups stay lean and win big

AI-powered startups are maintaining smaller, more efficient teams while expanding their reach, challenging traditional notions that scaling requires proportional headcount growth.