Friday, October 21, 2022
9:40 - 10:40 Keynote 3 - Are Large Language Models "Intelligent" Agents?
Prof. Dr. Gregor Betz
Professor of Philosophy of Science, Karlsruhe Institute of Technology, DebateLab
Abstract
Large Large Models (LLMs) such as GPT-3 are causing a minor scientific revolution in NLP and AI. In the same time, these technologies have sparked broader controversies about their very nature as intelligent, possible sentient beings. In this keynote, I'll flashlight key controversies surrounding LLMs, re-visit some fundamental debates in philosophy of mind and epistemology, and try to come up with a philosophically informed outlook on LLMs as "intelligent" agents.
15:15 - 16:15 Keynote 4 - A History of Imagining Intelligent Systems
Dr. Kanta Dihal
Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence, University of Cambridge
Abstract
People have been imagining intelligent systems for millennia, in ways that vary greatly across cultures. While themes such as embodiment seem to be widespread, ideas of what constitutes an intelligent system and what its place in society should be are strongly dependent on cultural, national, and other contexts. Yet as artificial intelligence begins to fulfil its potential as a technology, spreading across the globe from its origins in 1950s America, many of these perspectives are marginalised. These stories, films, and visions matter: they are entangled in broader cultural attitudes and approaches to AI, reflecting or inspiring, embedding or disputing them. This lecture will introduce a history of such visions from across the globe, how they influence public perceptions of AI, and what they can tell us now that intelligent systems are becoming a technological reality.
Detailed Program for Friday, October 21, 2022
- 9:20 - 9:30
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WebEx Room will be open
- 9:30 - 9:40
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Opening Remarks
Gabriella Lapesa, University of Stuttgart
- 9:40 - 10:40
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Keynote 3 - Are Large Language Models "Intelligent" Agents?
Prof. Dr. Gregor Betz
- 10:40 - 10:55
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Break
- 10:55 - 12:15
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Begin Session 3: Interdisciplinary
- 11:00 - 11:25 - Pixel, Partition, Persona: Machine Vision and Facial Recognition in Contemporary Speculative Fiction
- Tyne Daile Sumner, University of Melbourne
- 11:25 - 11:50 - Experiencing Ethics and Values in the Design Process of AI-enabled Medical Devices and Software
- Benjamin Schwarz, University of Lübeck
- Tim Schrills, University of Lübeck
- Thomas Franke, University of Lübeck
- 11:50 - 12:15 - Literary Narratives as Tools for Critical Reflection upon Intelligent Systems
- Curtis Runstedler, University of Stuttgart
- Curtis Runstedler, University of Stuttgart
- 11:00 - 11:25 - Pixel, Partition, Persona: Machine Vision and Facial Recognition in Contemporary Speculative Fiction
- 12:15 - 13:15
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Lunch Break
- 13:15 - 15:05
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Begin Session 4: Machine learning
- 13:20 - 13:45 - We Need Communities To Develop Reliable Systems
- Tommaso Caselli, University of Groningen
- 13:45 - 14:10 - Machine Learning in Sociology: a methodological Reflection
- Lukas Erhard, University of Stuttgart
- Raphael Heiberger, University of Stuttgart
- Lukas Erhard, University of Stuttgart
- 14:10 - 14:15 - Mini break
- 14:15 - 14:40 - Enriching Intelligent Tutoring Systems with Methods of Explainable Artificial Intelligence– a Research Proposal
- Anna Magdalena Thaler, University Bamberg
- Ute Schmid, University Bamberg
- Anna Magdalena Thaler, University Bamberg
- 14:40 - 15:05 - Experiments In Reflective Equilibrium Using The Socrates Platform
- Simon Cullen - Carnegie Mellon University
- Nick Byrd - Stevens Institute of Technology
- Philipp Chapkovski - WZB, Berlin
- Neil Thomason - The University of Melbourne
- 13:20 - 13:45 - We Need Communities To Develop Reliable Systems
- 15:05 - 15:15
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Break
- 15:15 - 16:15
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Keynote 4: A History of Imagining Intelligent Systems
Dr. Kanta Dihal
- 16:15 - 16:20
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Closing Remarks
