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.


10:00–11:00 Registration & Coffee
11:00–12:30 Keynote A
  Generative AI's Gappiness: Meaningfulness, Authorship, and
the Credit-Blame Asymmetry
  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)
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