Organizer
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University of Twente, DesignLab, space IDEATE, The Netherlands
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Website
https://maps.app.goo.gl/u1kApqPyM8sDombT7
Speakers
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1. Maryam Amir HaeriAssistant Professor at the University of Twente -
2. Joop SnijderHead of Research Center AI at Info Support -
3. Meike NautaSenior Data Scientist and AI Consultant at Datacation
Shaping the Future of AI
The NL4XAI project, funded under the EU’s Horizon 2020 programme to train eleven PhD candidates, announces its final conference and industrial event, scheduled to take place on 24 May 2024 at the DesignLab of the University of Twente, The Netherlands. The event serves as a platform to share the results achieved by the PhD candidates in the realm of Natural Language for Explainable AI and to foster dynamic discussions about future directions and initiatives in the field.
Featuring keynotes by renowned scientists in the field and demonstrations of the latest research in explainable AI, the event promises valuable perspectives and insights on the future of AI fairness and transparency.
Morning session:
We will start the day with several inspiring talks by speakers from academia and industry.
Speakers:
- Maryam Amir Haeri, Assistant Professor at the University of Twente, on Fair AI
- Joop Snijder, Head of Research Center AI at Info Support, on Explainable AI in Industry
- Meike Nauta, Senior Data Scientist and AI Consultant at Datacation, on the Future of XAI
Afternoon session:
We will allocate time in the afternoon for an interactive session in which the PhD candidates from the NL4XAI project and related projects will be sharing and demonstrating their latest research outcomes on explainable AI.
POSTERS:
- Ettore Mariotti, CiTiUS, University of Santiago de Compostela: Explainable AI in Industry: Real-World Applications and Use Cases (+ demo)
- Nikolay Babakov, CiTiUS, University of Santiago de Compostela: Scalability of Bayesian Network Structure Elicitation with Large Language Models
- Adarsa Sivaprasad, University of Aberdeen: TO BE ADDED
- Eduardo Caló, University of Utrecht: Clarifying Logical Formulae in Natural Language
- Sumit Srivastava, University of Twente: Trust in a Human-Computer Collaborative Task With or Without Lexical Alignment
- Alisa Rieger, University of Delft: Striving for Responsible Opinion in Web Search on Debated Topics
- Luca Nannini, INDRA/University of Santiago de Compostela: A Framework to Operationalize the Right to an Explanation
- Jairo Lefebre, Artificial Intelligence Research Institute (IIIA), Barcelona: Learning and modelling trust in a multi-agent environment
- Shreyasi Pathak, University of Twente: Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
- Annemarie Jutte, University of Twente: Explainable MLOps: an Application-Oriented Framewor
- Roan Schellingerhout, Maastricht University, Will your next job be chosen by AI? – Explainable Multi-Stakeholder Recommendations in Recruitment
Representatives from industry and other organizations interested in AI are also invited to present their organization during this session.
Attendance to the event is free, but registration is required in advance. Please note that the event will be held in person only.
Join us in shaping the future of AI at the NL4XAI Final Conference.
Hourly Schedule
Friday, May 24
- 9:15 - 9:30
- Welcome with coffee and tea
- 9:30 - 10:15
- Fair AI
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Speakers:
1. Maryam Amir Haeri
- 10:15 - 10:30
- BREAK
- 10:30 - 11:15
- Explainable AI in Industry
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Speakers:
2. Joop Snijder
- 11:15 - 12:15
- The Future of XAI
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Speakers:
3. Meike Nauta
- 12:15 - 13:15
- LUNCH
- 13:15 - 13:30
- Poster Pitches
- 13:30 - 15:15
- Poster & Demo Session
- 15:15 - 15:25
- Closing Remarks
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Speakers:
4. José María Alonso Moral
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