Programme
The following is a preliminary program for the event. 32 papers and 32 posters have been accepted from 181 submissions. For poster presenters, please noe that the maximum poster size is A0 = 84.1× 118.9 cm.
For abstracts for keynotes, talks, and posters, please click the links on the titles of each section. For example, click "Lunch Break & Posters I" to access the abstracts for the first session of posters. We are in the process of creating and updating these links as participants upload their final abstracts to EasyChair.
| 15-Dec-23 | ||
| 10:00–11:00 | Registration & Coffee | |
| 11:00–12:30 | Keynote A | |
| Generative AI's Gappiness: Meaningfulness, Authorship, and the Credit-Blame Asymmetry |
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| Sven Nyholm | ||
| Professor of Ethics of Artificial Intelligence | ||
| LMU Munich | ||
| 12:30–13:30 | Lunch Break & Posters I | |
| Désirée Martin and Michael W. Schmidt | Daniel Bracker et al. | |
| Discrepancies Between AI Regulation and Ethics: The case of well-being and beneficence | Authorship & ChatGPT | |
| Eloise Soulier | Fatemeh Amirkhani et al. | |
| Should we talk about machine agency? | Psychotherapist Bots: Transference and Countertransference Issues | |
| Herman Veluwenkamp and Daphne Brandenburg | Huanfang Dong | |
| On Reproaching Robots | Induction, Model selection, and Bias | |
| Jacob Sparks and Ava Thomas Wright | Martha Kunicki | |
| The Human in Human Centered AI | Co-Creativity with Artificial Intelligence | |
| Alex Wiegmann et al. | Anders Søgaard | |
| Humans’ and GPT-4’s judgments about lying and falsity in borderline cases across six languages and cultures | 5 Positions in the LLM Understanding Debate | |
| Andre Schmiljun and Alexander Scheidt | Barnaby Crook | |
| The Sapience Problem of Artificial Intelligence: Exploring the Distinction Between Sapience and Intelligence | Risks Deriving from the Agential Profiles of Modern AI Systems | |
| Céline Budding and Carlos Zednik | ||
| Does Explainable AI Need Cognitive Models? | [cancelled] | |
| 13:30–15:30 | Presentations A | |
| Session A | Session B | |
| Marcin Rabiza | Jojanneke Drogt et al. | |
| Mechanistic Explanatory Strategy for Deep Learning | Aligning Artificial Intelligence (AI) with Medical Expertise: A Conceptual Understanding of Expert Practices to Foster Ethical AI Integration | |
| Kristian G. Barman | Alexander Tolbert | |
| Inference to the Best Explanation in Explainable AI | Algorithms, Justice, and the Urban Ghetto | |
| Ben Macintosh | Cristina Voinea | |
| Skepticism about isolated explanations of Large Language Models | Of death and griefbots: from ethical problems to political solutions | |
| Thomas Raleigh & Aleks Knoks | Pia-Zoe Hahne | |
| Opacity, explainability, and the merits of distorting idealizations | Invisible Labour: Who Keeps the Algorithm Running? | |
| 15:30–16:00 | Coffee Break & Posters I | |
| (same posters: see above) | ||
| 16:00–18:00 | Presentations B | |
| Session C | Session D | |
| Silvia Dadà | ||
| [cancelled] | AI codes of ethics and guidelines. Are there really common principles? | |
| Sven Eichholtz | Jan-Hendrik Heinrichs | |
| How AI Will Not Learn Reference: A Critique Of Cross-Modal Vector Space Alignment | AMAs, function creep and moral overburdening | |
| Céline Budding | Phillip Honenberger | |
| What do large language models know? Tacit knowledge as a potential causal-explanatory structure | Fairness in AI/ML Systems: An Integrative Ethics Approach | |
| Mitchell Green and Jan Michel | Arzu Formánek | |
| What Robots Could Do with Words | Is it wrong to kick Kickable 3.0? An affordance based approach to ethics of human-robot interaction | |
| 18:00–19:30 | Keynote B | |
| Intentional and mechanistic explanations in the context of AI | ||
| Marta Halina | ||
| University Associate Professor of Philosophy of Cognitive Science | ||
| University of Cambridge | ||
| 19:30–21:00 | Dinner (Kreuz+Quer) | |
| 16-Dec-23 | ||
| 09:15–10:30 | Keynote C | |
| Should we trust (or care about) what ChatGPT tells us about itself? | ||
| Herman Cappelen | ||
| Chair Professor of Philosophy | ||
| University of Hong Kong | ||
| 10:30–11:00 | Coffee Break & Posters II | |
| Michael Cannon | Kanyu Wang | |
| The Arc and the Circle: Cognitivist and Post-Cognitivist Kinds of Intelligence | Uncertainty, awareness, and why now is not the right time to prioritise AI existential risk | |
| Markus Rüther | Renee Ye | |
| Why care about sustainable AI? Some thoughts from the debate on meaning in life | Ameliorating Anthropocentrism: New Directions for Artificial Consciousness | |
| Robert William Clowes | Roman Krzanowski | |
| Thinking Creating and Feeling with Generative AI: Incorporating AI in our Cognitive and Affective Lives as Extended Minds and Virtual Personalities | Human Nature and Artificial Intelligence: Sizing the Gap | |
| Jennifer Chubb et al. | Tugba Yoldas | |
| A Vice Framework for AI | Success Semantics, Egocentric Motivations, and Artificial Moral Patients | |
| Johannes Brinz | Jumbly Grindrod | |
| Virtuality and Reality: The Simulation-Replication Distinction and its Implications for AI | Transformer architectures and the radical contextualism debate | |
| Laura Haaber Ihle and Annika M. Schoene | Luke Kersten | |
| Ethics Guidelines for AI-based Suicide Prevention Tools | A Mechanistic Approach to the Computational Sufficiency Thesis | |
| Maria Federica Norelli et al. | Māris Kūlis | |
| Data, Phenomena and Models in Machine Learning | Lost in Translation: The Trap of Bad Metaphors in AI's Deceptive Simplicity | |
| [cancelled] | [cancelled] | |
| 11:00–13:00 | Presentations C | |
| Session E | Session F | |
| Giacomo Figà Talamanca | Peter Königs | |
| From AI to Octopi and Back: Why AI Systems Might Look Like (but Should Not Be Seen) as Agents | Negativity Bias in AI Ethics and the Case for AI Optimism | |
| Charles Rathkopf | Floriana Ferro | |
| Do LLMs Believe? | The RV Continuum as Flesh: A Phenomenological Interpretation of Mixed Reality | |
| Kris Goffin | Avigail Ferdman | |
| Emotion Recognition Software, Bias and Emotional Complexity | AI and Deskilling of Human Capacities | |
| Nicolas Kuske | John Dorsch | |
| Consciousness in Artificial Systems: Bridging Sensorimotor Theory and Global Workspace in In-Silico Models | Explainable AI in Automated Decision Support Systems: Reasons, Counterfactuals, and Model Confidence | |
| 13:00–14:00 | Lunch Break & Posters II | |
| (same posters: see above) | ||
| 14:00–16:00 | Presentations D | |
| Session G | Session H | |
| Katsunori Miyahara and Hayate Shimizu | Nikhil Mahant | |
| Discerning genuine and artificial sociality: a technomoral virtue to live with chatbots | Is AI deception deception? | |
| Luise Mueller | Nathaniel Gan | |
| Generative AI and Art as a Social Practice | Can AI systems imagine? A conceptual engineering perspective | |
| Pierre Saint-Germier | Guido Löhr | |
| “I sing the body algorithmic” Machine Learning and Embodiment in Human-Machine collective music-making | Conceptual engineering as a method in the philosophy of AI | |
| Alice Helliwell | Bradley Allen | |
| Creativity, Agency, and AI | Conceptual Engineering Using Large Language Models | |
| 16:00–17:15 | Keynote D | |
| Language, Consciousness, Justice & AI regulation | ||
| Joanna Bryson | ||
| Professor of Ethics and Technology | ||
| Centre for Digital Governance | ||
| Hertie School, Berlin | ||