PhAI 2025 – Programme
Day 1 (Thursday, 23.10.2025)
| 09:30–10:00 | Registration & Coffee | |
| 10:00–11:30 | Keynote A in room HG12A-00 | |
| Markus Kneer | ||
| University of Graz | ||
| 11:30–12:00 | Coffee Break | |
| 12:00–13:30 | Sessions A | |
| Rooms: | HG5A-33 | HG10A-33 OR HG8A-33 |
| Pierre Beckmann | Andre Curtis-Trudel and Preston Lennon | |
| Information Recall in Deep Learning: Beyond the Feature Combination Paradigm | Evaluating representationalist folk mentalism about LLMs | |
| James McIntyre | Carson Johnston | |
| The Right to Restrict AI Training | Navigating the Impact of Computational Science on the Concept of Epistemic Agency | |
| Xuyang Zhang | Leora Sung and Avigail Ferdman | |
| Against the Biological Objection to Strong AI | Self-Knowledge and AI Companions | |
| 13:30-15:00 | Lunch Break | |
| 15:00–16:30 | Sessions B | |
| HG5A-33 | HG10A-33 OR HG8A-33 | |
| Slater, Townsen Hicks, Humphries | Ayoob Shahmoradi | |
| ChatGPT is Still Bullshit | Does Thinking Require Sensory Grounding? | |
| Merel Semeijn | Oshri Bar-Gil | |
| Botspeech? Bullshit! | Toward a Relational Ethics Framework for AI: Integrating Postphenomenological Analysis with Care-Centered Design Principles | |
| Eliot Du Sordet | Tuhin Chattopadhyay | |
| Causal Representation Problems in LLMs’ World Models | Synthetica: Toward a Unified Ontology of Artificial Consciousness | |
| 16:30–17:30 | Coffee Break & Posters I | |
| 17:30–18:30 | Keynote B in Room HG12A-00 | |
| TBD | ||
| TBD | ||
| 18:30–20:00 | Reception / Borrel: Drinks & Fingerfood (Lobby) | |
Day 2 (Friday, 24.10.2025)
| 09:00–10:30 | Keynote C | |
| Emily Sullivan | ||
| University of Edinburgh | ||
| 10:30–12:00 | Sessions C | |
| HG5A-33 | HG8A-33 | |
| Samuela Marchiori | Pelin Kasar | |
| Low-code/no-code AI platforms and the ethics of citizen developers | There Is a Problem, But Not a Responsibility Gap | |
| Tobias Henschen | Jan Michel | |
| Algorithmic decision-making and equality of opportunity | Scientific Discovery and the Little Helper LLM: Proxy, Partner, or Pioneer? | |
| Susana Reis | Maud van Lier | |
| Beyond Inductive Risk: Toward a Broader Epistemic Framework for Value-Laden Decisions in Machine Learning Models | The Role of the Environment in Agency Debates | |
| 12:00–13:30 | Lunch | |
| 13:30–15:00 | Sessions D | |
| HG5A-33 | HG8A-33 | |
| Linus Ta Lun Huang and Ting-An Lin | Iwan Williams, Ninell Oldenburg, et al. | |
| AI, Normality, and Oppressive Things | Mechanistic Interpretability Needs Philosophy | |
| Davide Beraldo | Marius Bartmann and Bert Heinrichs | |
| (How) do machines make sense? Ethnomethods, technomethods and mechnomethods. | Large Language Models As Semantic Free Riders | |
| Jakob Ohlhorst | Fabio Tollon and Guido Löhr | |
| Folie à 1 – Artificially induced delusion and trust in LLMs | Assertions from the Margins: On AI Answerability | |
| 15:00-16:00 | Break | |
| 16:00–17:30 | Sessions E | |
| HG5A-33 | HG8A-33 | |
| Michael Lissack and Brenden Meagher | Matteo Baggio | |
| Distributing Agency: Rethinking Responsibility in AI Development and Deployment | Counter-Closure Principles, AI, and the Challenge of Conveying Understanding | |
| Sonja Spoerl, Andrew Rebera, Fabio Tollon and Lode Lauwaert | Nina Poth and Annika Schuster | |
| “Virtue Theatre”: Artificial Virtues and Hermeneutic Harm | Representation: Mental, Scientific – and Artificial? | |
| Kris Goffin | ||
| Fear Bots: Should we be afraid of proto-fearful AI? | ||
| Keynote D HG 14 00 | ||
| 17:30–19:00 | TBD | |
Accepted Posters
| Authors | Title |
|---|---|
| Uchizi Shaba | Mind Uploading |
| Hans Van Eyghen | AI-systems are more transparent than humans. A modest plea for relying more on AI. |
| Michael Lissack and Brenden Meagher | LLMs as Epistemic Tools: Exformation and the Architecture of Machine Explanation |
| Roman Krzanowski | Intentionality and the Limits of LLMs |
| Wolfhart Totschnig | When will an AI start asking for reasons? |
| Alexandru Mateescu | From Artificial Intelligence to Artificial Influence: Philosophical Reflections on Personalized Persuasion and Educating for Autonomy |
| Brian Ball, Alex Cline, David Freeborn, Alice Helliwell and Kevin Loi-Heng | Concepts and Classification Algorithms: A Case Study Involving a Large Language Model |
| Peter Tsu | The Ethical Frame Problem and Moral Perception Situated in a Form of Life |
| Rayane El Masri and Aaron Snoswell | Towards Attuned AI: Integrating Care Ethics in Large Language Model Development and Alignment |
| Claas Beger | Towards AI Collaborators: Exploring Goal, Value and Role-Based Alignment |
| Markus Pantsar | Artificial and human mathematical reasoning |
| Enrique Aramendia Muneta | AI and consciousness: How long is the shadow of epiphenomenalism? |
| Adrian Cussins | life and intelligence are different responses to the same cognitive challenge |
| Huseyin Kuyumcuoglu | Contractualist Solution for the Fairness Impossibility Theorem |
| Sabato Danzilli | The writing of the query as a hermeneutical act |
| Elina Nerantzi | Between persons and things: AI agents in Criminal Law |
| Jonathan Pengelly | Moral Cartography and Machine Ethics |
| Cecilia Vergani | The Social and Political dimension of Work: Technological Unemployment as a Threat to human cooperation, social integration and solidarity. |
| Konstantinos Voukydis | Phenomenal Consciousness in the Age of Large Language Models |
| Oliver Hoffmann | Framing Subjects and Objects |
| Frieder Bögner | Attention economy, exploitation and recognition-based harms |
| Sandrine R. Schiller and Filippos Stamatiou | What Is Human in the Age of Artificial General Intelligence?: Revisiting Aristotle’s Account of Natural Slavery |
| Qiantong Wu | The Philosophical Zombie and The Possibility of AI Consciousness in Large Language Models |
| Rokas Vaičiulis | The Externalist Implications of Machine Learning Epistemology: Empirical Knowledge and Its Social Dimension in the Accounts of C. Buckner and M. Pasquinelli |
| Hannah Louise Mulvihill, Taís Fernanda Blauth, Oskar Josef Gstrein and Andrej Zwitter | A systematic review of values integral to ethical design frameworks for the governance of artificial intelligence |
| Daniel Hromada | Prelude to Hermeneutics of Latent Spaces |
| Andrew Richmond | How not to do theory transfer: Representation in philosophy and explainable AI |