• Eldar Haber, Dariusz Jemielniak, Artur Kurasiński & Aleksandra Przegalińska, Using AI in Academic Writing and Research: A Complete Guide to Effective and Ethical Academic AI (Springer Nature, 2025)

This collaborative book offers the first comprehensive guide to integrating generative AI into academic work responsibly, addressing both the technical and ethical dimensions of AI-assisted research, authorship, and scholarly communication. Covering everything from literature reviews and data analysis to the mechanics of language generation, it provides practical frameworks for the effective, transparent, and principled use of AI in academia. The text balances opportunities and challenges, proposing best practices that ensure academic rigor, integrity, and innovation in the age of artificial intelligence.

• Eldar Haber, The Rise of the AI Author (KDP, 2025)

This book explores how generative AI is redefining authorship, creativity, and intellectual labor. Arguing that AI tools have democratized writing by empowering anyone to produce books and ideas once reserved for experts. It offers a hands-on guide to writing with AI while understanding its risks.

• Eldar Haber, The Invisible Ripple Effect (58 Arizona State Law Journal, forthcoming, 2026)

This article theorizes how generative AI errors, such as hallucinations and flawed outputs, can propagate through professional, academic, and institutional systems, becoming invisible over time while subtly shaping norms and decision-making. It argues for a regulatory framework designed to detect and contain these compounding errors before they embed into legitimate practice.