Conference Schedule
Monday 20 June
Session One: Explainable and causal approaches to AI
- Virginia Aglietti, Deepmind, The Alan Turing Institute: Causal decision-making in static and dynamic settings
- Umang Bhatt, University of Cambridge, The Alan Turing Institute: Challenges and Frontiers in Deploying Transparent Machine Learning
Session Two: Ethical and responsible AI
- Sylvie Delacroix, University of Birmingham: Data trusts as bottom-up data empowerment infrastructure
- David Leslie, The Alan Turing Institute: From principles to practice and back again: Building a responsible AI ecosystem from the ground up
- Darminder Ghataoura, Fujitsu: Open challenges for closer Human-Machine Teaming
- Panel session
Tuesday 21 June
Session Three: Explainable AI and Natural Language Processing
- André Martins, Instituto Superior Tecnico, Lisbon: Towards Explainable and Uncertainty-Aware NLP
- Naoaki Okazaki, Tokyo Institute of Technology: Towards controllable, faithful and explainable text generation
- Nikolaos Aletras, The University of Sheffield: How can we improve explanation faithfulness in NLP
- Christina Lioma, University of Copenhagen: Pitfalls with ablation in neural network architectures
Session Four: AI for Health
- Alfredo Vellido, Polytechnic University of Catalonia: Explain yourself: XAI as social responsibility
- Melanie Fernandez Pradier, Microsoft Research: From the research to the clinic: aligning ML systems with clinicians for improved mental care
