Artur Ziganshin
Master of Philosophy · PhD of Philosophy
Research Interests
My research investigates the epistemic and ethical foundations of AI — what conditions AI must satisfy to produce genuine knowledge, how ethics should be integrated into AI architecture, and how we preserve human agency.
Education
PhD of Philosophy
Master of Philosophy (MPhil)
Publications
Ziganshin, A. (2025). “Epistemic Risk Surfaces in Large Language Models.” PhilArchive preprint.
Ziganshin, A. (2025). “Linguistic Symbolism and Meaning Compression in Machine Learning.” PhilArchive preprint.
Ziganshin, A. (2025). “Human Dignity Constraints for Autonomous Decision Systems.” PhilArchive preprint.
Ziganshin, A. (2025). “Ethical Architecture: Design Principles for Normative AI.” PhilArchive preprint.
Ziganshin, A. (2025). “Process Reliabilism and Machine Testimony.” PhilArchive preprint.
Ziganshin, A. (2025). “The Chinese Room Revisited: LLMs and Understanding.” PhilArchive preprint.
Ziganshin, A. (2025). “Democratic Oversight of AI Systems.” PhilArchive preprint.
Research Areas
Epistemology of AI · Philosophy of Language & AI · AI Ethics · Philosophy of Mind · Political Philosophy of AI
Skills
Languages: Russian (native), English (professional)
Technical: Python, LLM evaluation, LaTeX