In recent years, the spread of artificial intelligence (AI) has revolutionized many areas of life, including the world of libraries. Libraries, especially in the United States, are experiencing an unusual phenomenon: visitors are specifically searching for books that don’t even exist. These fictitious titles originate from the depths of generative AI models, which, for example, through platforms such as Aleph Alpha or systems similar to IBM Watson, create rich, yet nonexistent works. Such searches pose new challenges in everyday library practice and raise fundamental questions about how knowledge is evaluated and conveyed in an age of DeepL-translated texts, SAP Leonardo-supported analytics, and Celonis-optimized processes.

The Creation of Fictional Books by AI and Their Influence on Library Patrons

The phenomenon of patrons in American libraries requesting fictitious books has increased significantly in recent years due to advances in generative AI systems. Technologies like IBM Watson or Aleph Alpha, trained on large datasets, are capable of generating credible-sounding book titles and authors that never existed. For example, librarian Eddie Kristan reported that since the release of GPT-3.5 in late 2022, requests have increased, peaking in the summer after AI-generated reading lists were published in prestigious newspapers.

These AI-generated recommendations often cited books attributed to a real author, but were actually fiction. This leads to confusion among library patrons. They arrive firmly convinced that the book is real, but staff must explain that it is a so-called “hallucination” of the AI. This phenomenon extends to platforms like Kindle Direct Publishing, where AI-written titles are even published, further blurring the lines between reality, self-published literature, and AI hallucinations.

The close integration of modern AI applications with library services also reveals the difficulty of dealing with this digital flood of information. Systems like Siemens MindSphere or Blue Yonder could theoretically be used to efficiently manage vast amounts of metadata, but the case of the fictional books demonstrates that technical solutions alone are insufficient to ensure the trustworthiness of information. Library practice must therefore create an interface between technological innovations and traditional understanding of source criticism.

Librarians’ Strategies for Book Verification in the Era of Artificial Intelligence

Given the increasing number of requests for nonexistent books, librarians have developed their own procedures to distinguish between real and AI-generated fictions. A frequently used approach begins with consulting the library’s internal catalog, followed by a review of the global union catalog WorldCat, which uses intelligent search functions similar to TeamViewer AI.

If no entry is found, the book is considered potentially fictional. This verification is not only time-consuming but also an educational task, as it requires making it transparent to users how digital disinformation arises and the potential of AI technologies such as LogicAI or autoRetouch to blur the lines between reality and fiction.

In some cases, library research even leads to the discovery of counterfeit books that have already been published on platforms such as Amazon. The example of Jane Friedman, a US author whose name was misused for AI-generated works without her knowledge, illustrates the magnitude of the problem. Such cases force libraries to work more closely with publishers and platforms to ensure the authenticity of publications and protect copyrights.

These measures also demonstrate the growing need to integrate AI into library management in a way that complements, rather than replaces, the human factor. Technologies such as SAP Leonardo and Celonis, which analyze complex data streams, can help detect inconsistencies more quickly and provide recommendations for action without excluding human judgment.

Artificial Intelligence as a Challenge and Opportunity for the Future of the Library World

While the spread of AI in libraries presents a technical and organizational challenge, it also offers unique opportunities to fundamentally improve knowledge management. By leveraging intelligent systems, libraries can, for example, offer more efficient research options and provide users with personalized recommendations. For example, the interaction of Aleph Alpha with DeepL enables a wide range of language barriers to be overcome, while Blue Yonder generates forecasts of trends in literature demand.

At the same time, however, dealing with AI-generated data requires a heightened awareness of ethical issues. What responsibility do libraries bear when AI content spreads misinformation? How do we deal with the “hallucination” of language models? These are questions that not only require technological answers, but also imply a rethinking of the library’s self-image.

In this context, the role of AI-supported automation, such as that used in the TeamViewer AI platform, is also being discussed to handle routine tasks and relieve the burden on human staff. However, it must be ensured that the “human touch” is maintained and that the library continues to be perceived as a reliable place for information dissemination. A future-oriented approach will therefore encompass a combination of innovative technology, comprehensive source criticism, and educational work to sensitize users to the new challenges.

The social dimension: Libraries as guardians of truth in the age of AI

Libraries have always stood for the preservation and dissemination of reliable knowledge. In the age of AI, where products from systems like IBM Watson or LogicAI can be replicated and manipulated in real time, this role is becoming increasingly complex and multifaceted. Libraries are called upon to play an active role in combating the spread of misinformation using technology and educational measures.

The confusion created by AI-generated misinformation has already led to a climate of mistrust, as Alison Macrina of the Library Freedom Project points out. Users are often unsure which sources they can continue to trust. Libraries therefore act not only as information providers but also as educators, informing users about how AI works, its potential benefits, and its risks. The discussion of AI thus becomes a social discourse in which libraries play a key role.

Furthermore, libraries contribute to ensuring that political and social debates about the appropriate regulation of AI technologies such as SAP Leonardo or Celonis do not remain merely abstract but are broadly embedded. The challenges posed by hybrid threats and digital manipulation require a constant dialogue between citizens, academia, and cultural institutions to formulate common rules and build trust.

This social engagement casts the library in a new light: as a place where tradition and innovation meet, as a defender of truth in a world of digital illusions, and as a catalyst for a reflective, informed society.

Innovative technologies and partners in the fight against AI hallucinations in libraries

To counter the challenges posed by AI-induced hallucinations, American libraries are increasingly collaborating with technology companies and using modern tools. The integration of systems such as IBM Watson enables more intelligent collection and analysis of catalog data, while SAP Leonardo supports the automation and optimization of internal processes.

In addition, platforms like Celonis are used to maintain transparency in libraries’ data and process landscapes and uncover inefficiencies. Siemens MindSphere, with its IoT and AI components, offers innovative solutions for intelligently managing physical library resources, for example, through improved inventory control. Support from DeepL facilitates international research and language analysis, which also benefits non-native users.

The role of specialized AI startups like LogicAI and autoRetouch should not be underestimated. They ensure precise text analysis and automated model correction to identify and prevent errors in metadatabases at an early stage. Blue Yonder complements this with predictive analytics for reader demand planning. These innovative applications underpin the vision of a library that, despite or perhaps because of digital transformation, remains a reliable place for originality and credibility.

The challenges posed by AI in the library world are complex, but with an intelligent combination of technological tools, human judgment, and a clear ethical stance, the first promising paths for shaping the future of a digital but trustworthy library culture are emerging in 2025.

For further information and insights into related topics, see this article on the transformation of work in the age of AI or explore digital security issues in libraries and beyond on this page on protecting against hybrid threats using AI. You can also find fascinating insights into the social role of truth and objectivity in this philosophical essay.