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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