Thursday, October 20, 2022
9:45 - 10:45 Keynote 1 - Fairness & Inclusion in Machine Learning for Text: Back to the Future?
Prof. Dr. Anne Lauscher
Professor of Data Science at the University of Hamburg
Abstract
The majority of the research efforts in Natural Language Processing are mostly opting for better performance on major benchmarks and downstream tasks. However, it is vital to acknowledge that eventually, these systems will be deployed in a concrete sociotechnical environment, and, thus, their development and their decisions will directly or indirectly affect individuals and, more generally, society as a whole.
For instance, NLP systems are prone to encode and amplify unfair stereotypes and often simply fail to adequately represent terms referring to minority groups, which might lead to further discrimination and exclusion of marginalised individuals. In this talk, I will provide an introduction to the training mechanism of modern machine learning-based NLP systems and point to the input data as one potential source of these ethical issues with case studies in conversational AI and machine translation.
15:00 - 16:00 Keynote 2 - AI as Mediator
Prof. Dr. Robert "Bob" C. Williamson
Professor of "Foundations of Machine Learning Systems" at the Eberhard Karls University Tübingen
Abstract
Much of the current discussion of AI views it as an autonomous force. In this talk I will present a complementary view of “AI as mediator”, whereby AI is viewed as an intermediary between humans and the world. This does not solve all the problems of AI. But it does give a different way of thinking about them, and one which is better aligned with the view of AI as IA — Intelligence Augmentation. In pursuing this agenda, I will also talk about technology in general, the importance of context, the distinction between tools and machines, when and where decisions get made, and notions of delegation. The talk is more “mediations on mediation” than a definitive proposal or argument.
Detailed Program for Thursday, October 20, 2022
- 9:20 - 9:30
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WebEx Room will be open
- 9:30 - 9:45
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Opening Remarks
Gabriella Lapesa, University of Stuttgart
- 9:45 - 10:45
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Keynote 1: Fairness & Inclusion in Machine Learning for Text: Back to the Future?
Prof. Dr. Anne Lauscher
- 10:45 - 10:55
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Break
- 10:55 - 12:15
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Begin Session 1: Reflection for Teaching and Communication with the Public
- 11:00 - 11:25 - Embedding reflective learning opportunities in teaching about intelligent systems
- Tabea Berberena, University of Stuttgart
- Maria Wirzberger, University of Stuttgart
- Tabea Berberena, University of Stuttgart
- 11:25 - 11:50 - Critical Reflection Prior to Posting on Social Media
- Sierra Kaiser, University of Stuttgart
- 11:50 - 12:15 -What is the purpose of reflecting on intelligent systems in public and who is the target audience? Lessons from a BMBF-project called “Fragen an KollegIn KI”
- Félicie Kohlrausch, University of Stuttgart
- Félicie Kohlrausch, University of Stuttgart
- 11:00 - 11:25 - Embedding reflective learning opportunities in teaching about intelligent systems
- 12:15 - 13:15
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Lunch Break
- 13:15 - 13:35
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Begin Session 2: One Discipline to the Public
- 13:20 - 13:45 - On the Role of the Enablers of Society-Wide Critical Reflection on Intelligent Systems
- Kevin Baum, Saarland University
- Jonas Wahl, Berlin Institute of Technology (Technische Universität Berlin)
- Torsten Becker, Saarland University
- Lara C. Roll, North-West University (South Africa)
- Sarah Sterz, Saarland University
- Timo Speith, University of Bayreuth
- 13:45 - 14:10 - Biases and sustainability in intelligent systems. Uncovering (unintended) influences of developers’ demographics and motives on intelligent systems.
- Siegmar Otto, University of Hohenheim
Canceled - Reflection on intelligent systems: A physicist’s thoughts from the study of complex systems - Miriam Klopotek, University of Stuttgart
- 13:20 - 13:45 - On the Role of the Enablers of Society-Wide Critical Reflection on Intelligent Systems
- 14:10 - 14:45
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Break
- 14:45 - 15:00
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WebEx room reopens. Discussion and socializing.
- 15:00 - 16:00
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Keynote 2: AI as Mediator
Prof. Dr. Robert "Bob" C. Williamson
- 16:00
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Closing Remarks
