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DTSTAMP:20220621T121742
UID:628fe054-f14b-11ec-b068-000e0c3db68b
SUMMARY:Digital Workshop "Reflection on intelligent systems: towards a cross-disciplinary definition"
DESCRIPTION:Program Pages:\nThursday, October 20, 2022\nFriday, October 21, 2022\nReflection Workshop\n\nWhat does it mean to reflect on intelligent systems?\nWhich tools and methods are needed to successfully engage in (critical) reflection on intelligent systems?\nWhat is the purpose of this reflection, its outcome, and who is the target audience?\nWhich lessons can we learn from discipline-internal reflection practices?\nTo what extent can these lessons be “translated” into interdisciplinary collaborations, teaching, science-policy debates, and science communication to a broader public?\n\nTaking these questions as a starting point for this digital workshop, we aim to take the first steps towards a cross-disciplinary definition of the notion of reflection on intelligent systems by approaching the topic of reflection from various interdisciplinary perspectives. The conceptual outline of our workshop is defined by the goals and targets of reflection or, more specifically, by its end-users and their needs.\nTheme 1: At a discipline-specific level, e.g., interpretability/introspection of intelligent systems. Why is reflection necessary if it does not improve performance? What are the ethical issues or catalysts of reflection at this level (e.g., bias, sustainability)?\nTheme 2: At an interdisciplinary level: successful interdisciplinary collaboration requires a "translation" of the ontologies/methods of one discipline into the “language” of the other. While the outcome of reflection for interdisciplinary exchange likely shares features with discipline-specific reflection(s), the translation process reveals specific features that only "exist" at the intersection between different disciplines. \nTheme 3: From one discipline to the public: yet another type of reflection is driven by this practical question:  Why do we want the public to gain a deeper understanding of an intelligent system? And as a consequence, which aspects do we want the public to understand (clearly, not everything is necessary)? And what does the public want to know? \nSpecial Theme: Reflection and Teaching\nTeaching is one of the strongest driving forces for reflection. As educators, we all feel at some point that we have only really understood the subject through the preparation of a lecture and sharing it with a class. How does this deep understanding relate to the three-layer structuring of reflection defined above? Indeed, students are part of the public (theme 3), but they are also experts in their respective disciplines to some extent (theme 1). Besides, the reflection on intelligent systems in teaching can be seen as a form of the conceptual translation we engage in when collaborating with experts of other disciplines who have limited knowledge of our domain (theme 2).\nProgram for Reflection Workshop\n(Link to the Schedule and Details of Presentations)\n\n\n\n\nThursday, October 20, 2022\n\n\nFriday, October 21, 2022\n\n\n\n09:30 - Opening and Welcome\n09:30 - Opening and Welcome\n\n\n\n09:45 - Keynote 1 - Fairness & Inclusion in Machine Learning for Text: Back to the Future?\nProf. Dr. Anne Lauscher\nProfessor of Data Science at the University of Hamburg\n\n\n09:40 - Keynote 3 - Are Large Language Models "Intelligent" Agents?\nProf. Dr. Gregor Betz\nProfessor of Philosophy of Science, Karlsruhe Institute of Technology, DebateLab\n\n\n\n10:45 - Break\n10:45 - Break\n\n\n\n10:55 - Session 1: Reflection for Teaching and Communication with the Public\n\n\n10:55 - Session 3: Interdisciplinary\n\n\n\n12:15 - Lunch\n12:15 - Lunch\n\n\n\n13:15 - Session 2: From one discipline to the public\n\n\n13:15 - Session 4: Machine learning\n(14:10 - Mini break)\n14:15 - Continue Session 4: Machine Learning\n\n\n\n\n14:35 - Break\n14:45 - WebEx Reopens\n\n15:05 - Break\n\n\n\n15:00 - Keynote 2  - AI as Mediator\nProf. Dr. Robert "Bob" C. Williamson\nProfessor of "Foundations of Machine Learning Systems" at the Eberhard Karls University Tübingen\n\n\n15:15 - Keynote 4 - A History of Imagining Intelligent Systems\nDr. Kanta Dihal\nSenior Research Fellow at the Leverhulme Centre for the Future of Intelligence, University of Cambridge\n\n\n\n\n16:00 - Closing\n\n\n16:15 - Closing\n\n\n\n\n\nClick here to download the Summary of Themes and Titles\nClick here to download the IRIS Reflection Workshop Schedule\n\nOrganizers\nThis two-day online event is hosted by the University of Stuttgart, Interchange Forum for Reflecting on Intelligent Systems (IRIS), and organized by Gabriella Lapesa, Lukas Erhard, Curtis Runstedler, and Sierra Kaiser.
DTSTART;TZID=Europe/Berlin:20221020T093000
DTEND;TZID=Europe/Berlin:20221020T163000
URL;VALUE=URI:https://www.iris.uni-stuttgart.de/de/veranstaltung/Digital-Workshop-Reflection-on-intelligent-systems-towards-a-cross-disciplinary-definition/
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220621T121742
UID:628fe054-f14b-11ec-b068-000e0c3db68b-1
SUMMARY:Digital Workshop "Reflection on intelligent systems: towards a cross-disciplinary definition"
DESCRIPTION:Program Pages:\nThursday, October 20, 2022\nFriday, October 21, 2022\nReflection Workshop\n\nWhat does it mean to reflect on intelligent systems?\nWhich tools and methods are needed to successfully engage in (critical) reflection on intelligent systems?\nWhat is the purpose of this reflection, its outcome, and who is the target audience?\nWhich lessons can we learn from discipline-internal reflection practices?\nTo what extent can these lessons be “translated” into interdisciplinary collaborations, teaching, science-policy debates, and science communication to a broader public?\n\nTaking these questions as a starting point for this digital workshop, we aim to take the first steps towards a cross-disciplinary definition of the notion of reflection on intelligent systems by approaching the topic of reflection from various interdisciplinary perspectives. The conceptual outline of our workshop is defined by the goals and targets of reflection or, more specifically, by its end-users and their needs.\nTheme 1: At a discipline-specific level, e.g., interpretability/introspection of intelligent systems. Why is reflection necessary if it does not improve performance? What are the ethical issues or catalysts of reflection at this level (e.g., bias, sustainability)?\nTheme 2: At an interdisciplinary level: successful interdisciplinary collaboration requires a "translation" of the ontologies/methods of one discipline into the “language” of the other. While the outcome of reflection for interdisciplinary exchange likely shares features with discipline-specific reflection(s), the translation process reveals specific features that only "exist" at the intersection between different disciplines. \nTheme 3: From one discipline to the public: yet another type of reflection is driven by this practical question:  Why do we want the public to gain a deeper understanding of an intelligent system? And as a consequence, which aspects do we want the public to understand (clearly, not everything is necessary)? And what does the public want to know? \nSpecial Theme: Reflection and Teaching\nTeaching is one of the strongest driving forces for reflection. As educators, we all feel at some point that we have only really understood the subject through the preparation of a lecture and sharing it with a class. How does this deep understanding relate to the three-layer structuring of reflection defined above? Indeed, students are part of the public (theme 3), but they are also experts in their respective disciplines to some extent (theme 1). Besides, the reflection on intelligent systems in teaching can be seen as a form of the conceptual translation we engage in when collaborating with experts of other disciplines who have limited knowledge of our domain (theme 2).\nProgram for Reflection Workshop\n(Link to the Schedule and Details of Presentations)\n\n\n\n\nThursday, October 20, 2022\n\n\nFriday, October 21, 2022\n\n\n\n09:30 - Opening and Welcome\n09:30 - Opening and Welcome\n\n\n\n09:45 - Keynote 1 - Fairness & Inclusion in Machine Learning for Text: Back to the Future?\nProf. Dr. Anne Lauscher\nProfessor of Data Science at the University of Hamburg\n\n\n09:40 - Keynote 3 - Are Large Language Models "Intelligent" Agents?\nProf. Dr. Gregor Betz\nProfessor of Philosophy of Science, Karlsruhe Institute of Technology, DebateLab\n\n\n\n10:45 - Break\n10:45 - Break\n\n\n\n10:55 - Session 1: Reflection for Teaching and Communication with the Public\n\n\n10:55 - Session 3: Interdisciplinary\n\n\n\n12:15 - Lunch\n12:15 - Lunch\n\n\n\n13:15 - Session 2: From one discipline to the public\n\n\n13:15 - Session 4: Machine learning\n(14:10 - Mini break)\n14:15 - Continue Session 4: Machine Learning\n\n\n\n\n14:35 - Break\n14:45 - WebEx Reopens\n\n15:05 - Break\n\n\n\n15:00 - Keynote 2  - AI as Mediator\nProf. Dr. Robert "Bob" C. Williamson\nProfessor of "Foundations of Machine Learning Systems" at the Eberhard Karls University Tübingen\n\n\n15:15 - Keynote 4 - A History of Imagining Intelligent Systems\nDr. Kanta Dihal\nSenior Research Fellow at the Leverhulme Centre for the Future of Intelligence, University of Cambridge\n\n\n\n\n16:00 - Closing\n\n\n16:15 - Closing\n\n\n\n\n\nClick here to download the Summary of Themes and Titles\nClick here to download the IRIS Reflection Workshop Schedule\n\nOrganizers\nThis two-day online event is hosted by the University of Stuttgart, Interchange Forum for Reflecting on Intelligent Systems (IRIS), and organized by Gabriella Lapesa, Lukas Erhard, Curtis Runstedler, and Sierra Kaiser.
DTSTART;TZID=Europe/Berlin:20221021T093000
DTEND;TZID=Europe/Berlin:20221021T163000
URL;VALUE=URI:https://www.iris.uni-stuttgart.de/de/veranstaltung/Digital-Workshop-Reflection-on-intelligent-systems-towards-a-cross-disciplinary-definition/
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