HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Springer Nature Book 'Social, Ethical and Legal Aspects of Generative AI: Tools, Techniques and Systems' Reportedly Published With Numerous Purportedly Fabricated or Unverifiable Citations

June 17, 2025

The book 'Social, Ethical and Legal Aspects of Generative AI: Tools, Techniques and Systems', published by Springer Nature in June 2025, has come under scrutiny for reportedly containing numerous unverifiable citations. According to independent analyses by various researchers, a significant number of references in some chapters could not be traced, including references to non-existent journals. The citation patterns are strikingly similar to known large language model hallucination tendencies. This raises questions about the book's integrity and highlights the importance of responsible AI governance, especially when it comes to academic publications. For those interested in shaping the future of trustworthy AI practices, learn more about HISPI Project Cerebellum TAIM by JOIN US.

This incident underscores the need for robust guardrails for AI systems and a comprehensive AI incident database like that offered by Project Cerebellum. By mapping and measuring such incidents, we can better understand, prevent harm, and create safer and more secure AI environments.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
srikanta-patnaik, jair-minoro-abe, kazumi-nakamatsu, francesco-vigliarolo, springer-nature, unnamed-chapter-authors
Alleged developer
unknown-large-language-model-developers, unknown-generative-ai-developers
Alleged harmed parties
academic-researchers, ai-researchers, readers-of-academic-and-technical-publications, students, epistemic-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1309

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.