Cameron Pattison

Formal Epistemology & Philosophy of AI | Vanderbilt University

cameron.pattison@vanderbilt.edu

Measuring What Matters in an Age of AI

I develop rigorous, analytic frameworks for measuring and comparing information and belief states—work that travels across agent comparison, text analysis, and AI evaluation. My research bridges formal epistemology with practical AI assessment, creating tools that help us reason about warranted belief and epistemic risk in high-stakes contexts.

Epistemic Distance

Developing formal methods to quantify differences between belief systems using information-theoretic tools

AI Evaluation

Creating credence-preservation approaches to assess AI outputs by the beliefs they induce

Interdisciplinary Bridge

Connecting classical philosophical insights with cutting-edge AI research and policy applications

Cameron Pattison

Academic Position

PhD Student in Philosophy at Vanderbilt University (Expected 2029), working with David Thorstad on formal epistemology and philosophy of AI.

Leadership

Co-Director of "AI and the Human" at Vanderbilt and Research Affiliate with the MINT Lab at Australian National University.

Recognition

Recipient of the $6k+ Lacy-Fischer Interdisciplinary Research Grant and $5k Vanderbilt Award for Doctoral Discovery.

Research Journey

Classical Foundations

My academic journey began with classical Islamic and ancient Greek philosophy, focusing on textual source analysis and cross-linguistic philosophical transmission. This work on similarity quantification between texts laid the groundwork for my current research.

Ibn Arabi Al-Fārābī Digital Humanities

Bridge to AI

My work in classical source analysis naturally led me to AI as a tool for quantifying textual similarity and uncovering overlooked connections. This experience with semantic distance measurement became central to my current formal epistemology research.

LLM Applications Semantic Analysis Cross-linguistic Research

Current Focus

Today, I'm developing rigorous frameworks for epistemic distance measurement that work across agent-agent comparison, text-text analysis, and AI evaluation contexts. The goal is creating tools that are both formally serious and practically applicable to real-world AI assessment challenges.

Bregman Divergences Credence-Preservation Policy Applications

Multilingual Research

My research spans multiple linguistic and cultural traditions, bringing perspectives from classical Arabic, ancient Greek, and contemporary contexts to bear on modern AI challenges.

السيرة الذاتية البحثية

Photo from Jordan

لقد كرّستُ جزءًا كبيرًا من حياتي الأكاديمية لدراسة الفلسفة الإسلامية الكلاسيكية، مع تركيز خاص على دور الدين والتعددية الدينية في الشهادة الموثوقة. بحثتُ في نظريات العقل والإدراك، مع اهتمام دقيق بالطرق التي حاول بها الفلاسفة في العصور الوسطى استيعاب البصائر النبوية كشهادة موثوقة. كما درستُ نظرية الحب عند ابن عربي في كتابه "الفتوحات المكية" ووجدتُ أن الشعر العربي من أروع ما قُدّم في الأدب العالمي. هذه الدراسات أثرت بشكل عميق فهمي للعقلانية والإدراك البشري، وتشكّل أساسًا مهمًا لبحثي الحالي حول الذكاء الاصطناعي.

Ἡ φιλοσοφικὴ ἀρχή

Photo from Greece

Τὴν ἀρχαίαν Ἑλληνικὴν φιλοσοφίαν πολὺν χρόνον ἐμελέτησα, μάλιστα τὴν μίμησιν παρὰ Πλάτωνι, Ἀριστοτέλει, Φίλωνι καὶ ἄλλοις. Ἐξετάσα πῶς οὗτοι οἱ φιλόσοφοι τὸ ὄντως ὂν ἀπὸ τῆς μιμήσεως διεχώριζον. Τῶν ἀρχαίων ποιητῶν, μάλιστα τοῦ Ὁμήρου, τὰ ἔπη ἡδέως ἀνέλεξα. Αὕτη ἡ παιδεία τὴν νῦν ἐμὴν ἔρευναν περὶ τοῦ νοῦ καὶ τῆς μιμήσεως ἐν τῷ τεχνητῷ νοῖ θεμελιοῖ.

Core Research Areas

Formal Epistemology

Information-theoretic approaches to belief measurement, accuracy-first frameworks, and epistemic distance quantification

Philosophy of AI

AI evaluation design, credence-preservation metrics, and normative assessment of AI systems in policy contexts

AI Ethics

Bias evaluation, representational harm analysis, and sociotechnical impact assessment of AI systems

Classical Philosophy

Islamic and ancient Greek philosophy, with expertise in textual analysis and cross-cultural transmission

Technical Methods

Python, NLP, vector databases, LLM engineering, and computational analysis pipelines

Applied Research

Open-source tool development, research workflow optimization, and practical AI applications

Recent Highlights

Lacy-Fischer Grant

$6,000+ interdisciplinary research grant supporting work on epistemic distance measurement

2025

Springer Publication

Chapter on revelation in al-Fārābī's political philosophy in Studies in the History of Philosophy

2024

AI and the Human

Co-directing seminar series featuring David Chalmers, John Tasioulas, and other leading scholars

Ongoing

MINT Lab Collaboration

Research affiliate working on normative dimensions of AI summarization in policy contexts

2024-2025