Dear Colleagues, 

I am happy to share the publication of my last book: Understanding 
Conversational AI: Philosophy, Ethics, and Social Impact of Large Language 
Models (270  pages, Ubiquity Press, fully open access, downloadable as a whole 
book or chapter by chapter, paperback version on demand. 

Bets regards, 

Thierry Poibeau

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Understanding Conversational AI
Philosophy, Ethics, and Social Impact of Large Language Models
Thierry Poibeau

270 pages, Ubiquity Press, fully open access, downloadable as a whole book or 
chapter by chapter, paperback version on demand. 


What do large language models really know—and what does it mean to live 
alongside them? This book offers a critical and interdisciplinary exploration 
of large language models (LLMs), examining how they reshape our understanding 
of language, cognition, and society. Drawing on philosophy of language, 
linguistics, cognitive science, and AI ethics, it investigates how these models 
generate meaning, simulate reasoning, and perform tasks that once seemed 
uniquely human—from translation to moral judgment and literary creation.

Rather than offering a purely technical account, the book interrogates the 
epistemic, ethical, and political dimensions of LLMs. It explores their 
limitations, their embedded biases, and their role in processes of automation, 
misinformation, and platform enclosure. At the same time, it reflects on how 
LLMs prompt us to revisit fundamental questions: What is understanding? What is 
creativity? How do we ascribe agency or trust in a world of synthetic language?

Written for scholars, students, and curious readers across the humanities, 
social sciences, and computer science, this is both a philosophical inquiry and 
a practical guide to navigating the era of generative AI. It invites readers to 
think critically about the promises and perils of language technologies—and 
about the kind of future we are shaping with them.


Feel free to read it and share it widely! 
https://www.ubiquitypress.com/chapters/m/10.5334/bde.d



Table of content: 

    • Introduction. Speaking machines, thinking humans
    • Latent linguistics: the conception of language in large language models
    • From the design of large language models to a reassessment of linguistic 
theory
    • Large language models and the future of writing
    • Large language models and reasoning, the boundaries of mind and 
consciousness
    • Large language models and creativity
    • Moral reasoning and synthetic judgment in large language models
    • Large language models and critical thinking: bias, social impact, and 
political implications
    • Disinformation, misinformation, and the crisis of trust in AI-generated 
content
    • Ethics at scale
    • Conclusion. Thinking with machines
    • Annex. The architecture and training of large language models
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