International Association for Computing and Philosophy - Annual Conference 2026

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Ahmed Amer
  • Can A Robot Dance? (Duration 60 mins)
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Alejandro D. Tamez
  • From Artifacts to Agents: Socializing the Epistemology of Evidence in Law
  • Workshop: Artificial Wisdom – Making AI More Human and Humans Less Mechanical
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Aleks Knoks
  • How not to Argue against AI Thought
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Alicia Patterson
  • Feminist Epistemologies and Trusting Chatbots
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Anurag Pandey
  • The Conscious Turing Machine through the Lens of Analytic Idealism: Limits, Reinterpretations, and Prospects for CTM
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Arzu Formanek
  • Affordance Mixtures in Robotics and AI: Novelty of Designed Systems without Anthropomorphism
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Bada Kim
  • The Epistemic Dimension of Value Alignment: Why Understanding Matters More Than Knowledge
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Caroline Wall
  • Algorithmic Elaboration and Agency
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Caterina Mosca
  • Algorithms, Tasks and Data structures
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Chelsea Schwartz
  • Epistemological Concerns of Missing Data
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Chirine Laghjichi
  • Locality and Analog Computing
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Clint Hurshman
  • What Does it Take to Simulate a Mind? Digital Duplicates as Simulation Models
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Colin Allen
  • Assessing whether LLMs Provide Acceptable Substitutes for Human Judgments in a Digital Philosophy Project
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Conny Knieling
  • Deep Learning Models in Science: Explanation without Representation?
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Conor Rowan
  • The Philosophy of Learned Operators: a New Kind of Scientific Model
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David Miguel Gray
  • What Would Count as Evidence of Syntax in LLMs? Center-Embedding Diagnostics and Attractor Interference
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Deborah Marber
  • Creativity without creators? On why we are reluctant to praise AI creativity.
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Denisa Reshef Kera
  • (Remote Presentation) Alignment as Theodicy: Non-Human Agency and the Instability of Moral Order
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Don Fallis
  • What is the Epistemic Threat of Digital Fakes?
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Gualtiero Piccinini
  • The Movement of Thought: Navigation as Neurocognitive Architecture (IACAP Covey Award Keynote)
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Hadassa Daltrophe
  • What Machines Reveal about the Principle of Proportionality
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Hajo Greif
  • Epistemic Transparency: Meanings, Models and the Limits of Knowledge
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Jack K. Horner
  • Challenges in Comparing the Performance of Quantum and Classical Computing
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Jeroen de Haas
  • Why We Should Discuss the Identity of Software Products
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John Sullins
  • Workshop: Artificial Wisdom – Making AI More Human and Humans Less Mechanical
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John Symons
  • Evaluating Existential Risk from AI
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Josefine Ruppenthal
  • The Answer Is 42: Delegated Autonomy and Intransparent Reasoning in Public Sector Decision-Making
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Justin Mullins
  • Social Triangulation and Representational Stability: A Quinean-Davidsonian Framework for AI Architecture
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Kaisa Kärki
  • The Fundamental Skills Approach to Deskilling
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Karina Vold
  • A Taxonomy of AI Alignment Problems
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Kay Mathiesen
  • What is the Epistemic Threat of Digital Fakes?
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Kheli Atluru
  • Why We Need a New Framework for Emotional Intelligence in AI
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Laura Crompton
  • The Answer Is 42: Delegated Autonomy and Intransparent Reasoning in Public Sector Decision-Making
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Lev Sukherman
  • Hallucination as a Property of Processing Mode
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Libby Southgate
  • Feminist Epistemologies and Trusting Chatbots
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Lilia Endter
  • Spontaneity, Agency, and the Limits of Predictive Computation
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Maria Kyrarini
  • Can A Robot Dance? (Duration 60 mins)
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Mathew Smith
  • Separating Use from Usability in the Individuation of Computations
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Max Parks
  • Why We Need a New Framework for Emotional Intelligence in AI
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Meera Vinod
  • Why We Need a New Framework for Emotional Intelligence in AI
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Michael Bouchard
  • The Sovereign Prosthesis: Toward a Functional Sophimatics of Cognitive Extension
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Michael Laakasuo
  • The Fundamental Skills Approach to Deskilling
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Michael Lissack
  • Anticipatory Agents: A Framework for Human-AI Partnership Grounded in Pragmatist Epistemology
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Naomi Korem
  • What Machines Reveal about the Principle of Proportionality
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Nazhah Mir
  • Assessing whether LLMs Provide Acceptable Substitutes for Human Judgments in a Digital Philosophy Project
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Nick Wiggershaus
  • Can We Please Say What We Mean By Program?
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Nico Formánek
  • Some Computations are Experiments
  • IACAP Book Club--Speakers: Ramon Alvarado, Hajo Greif, Ben Recht
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Oluwaseun Sanwoolu
  • When Nothing Needs to Be Said: Silence, Presence, and Close Personal Relationships with AI
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Open to all conference participants
  • IACAP Members' Meeting
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Oriol Roca-Martín
  • An Overlooked Challenge for the “Emergent Multi-Scale Causality” Framework for Modelling Complex Systems. A Brief Philosophical Note
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Philip Nickel
  • Trustworthy AI and Narrow-Scope Models
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Phillip Honenberger
  • Simulation is All You Need
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Ramon Alvarado
  • Computational Methods and Artifactual Epistemology
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Robert Marc Schwartz
  • "If I Only Had a Heart": A Plug-In Emotion Variable for Consciousness-Based Models
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Robin K Hill
  • Reports on Courses in the Philosophy of Computing--Speakers: Ramon Alvarado, Nico Formanek
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Shreya Ishita
  • The Ontic-Epistemic Distinction: Implications for Robust General Intelligence
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Tammar Shrot
  • What Machines Reveal about the Principle of Proportionality
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Thomas M. Powers
  • What is ‘Meaningful Human Control’ in Autonomous Weapons Systems?
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Thomas Mitchell
  • Trustworthy AI and the King Midas Problem
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Tom Sterkenburg
  • Occam's Razor in Machine Learning (IACAP Simon Award Keynote)
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William A. Bauer
  • AI Needs Alignment: Navigating the AI Ethics/Value Alignment Dichotomy
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Yeslam Al-Saggaf
  • The Role of Ethical Principles in AI for Cybersecurity
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Yunlong Cao
  • Understanding How It Works Defeats Mental Attribution