CFP: From Logic to Language: New Takes on Philosophy of AI

Workshop: "From Logic to Language: New Takes on Philosophy of AI"

Date: October 16, 2026.
Location: National Autonomous University of Mexico-Mexico City, MX.  

Website of the event: https://sites.google.com/view/from-logic-to-language-philai/home

Submission deadline: July 1, 2026.

Keynote speakers:

• Vít Gvoždiak (Philosophy Institute, Czech Academy of Sciences)
• Gabriela Sued (Institute of Applied Mathematics and Systems Research, National Autonomous University of Mexico) 

Motivation: 
Recent advances in artificial intelligence—especially large language models—have renewed foundational philosophical questions about language, inference, and knowledge. These systems produce linguistically well-formed outputs and display patterns of reasoning, yet their epistemic and semantic status remains unclear. Are we witnessing new forms of linguistic agency, or merely sophisticated statistical artifacts? And what kinds of logical and formal tools are adequate to capture their behavior?

This workshop aims to bring together perspectives from logic, linguistics, and philosophy to address these questions. We welcome contributions on topics including (but not limited to):

• Epistemology of AI outputs: What is the epistemic status of AI-generated content? Can such outputs constitute knowledge, understanding, or evidence? Under what conditions, if any, are they reliable or trustworthy?
• Language and meaning in AI: Do the outputs of large language models qualify as genuine speech acts? Can they be said to have meaning, reference, or intention, or are these merely ascriptions from the user’s perspective?
• Logic and formal modeling: What logical frameworks are best suited to model AI behavior—classical, non-classical, probabilistic, or hybrid approaches? How should we formalize phenomena such as inconsistency, opacity, or context-sensitivity in AI systems?
• Understanding and explanation: Do AI systems exhibit any form of understanding, or only simulate it? What would count as an explanation of their outputs, and how does this relate to broader debates on scientific understanding
• Normativity and evaluation: What norms—epistemic, semantic, or pragmatic—should govern the use and assessment of AI outputs? Can traditional notions of justification and validity be extended to these systems?
• Bias, gender, and injustice: How do AI systems reproduce or amplify existing social biases, including those related to gender? What forms of epistemic or linguistic injustice arise in their deployment, and how should they be addressed. 

Contributed papers will be given 40 minutes each (25 minutes for presentation + 15 minutes for Q&A).  

Submission Guidelines:
Abstracts should be no longer than 200 words (references not included), and they should be prepared for blind review. Abstracts must be sent in PDF format to [email protected].  

Submission deadline: July 1, 2026.