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Advances In Data Science Conference 2022

By:   []

Date: 2022-06 

Our conference is returning in June 2022 as the Advances in Data Science and AI conference and will be held online and in Manchester. After physical events in 2017, 2018 and 2019 and a quickly re-designed online event in 2020, we took a break in 2021 as the pandemic uncertainty continued.

We are now returning on 20 and 21 June 2022 with the Advances in Data Science and AI conference, which will be delivered at The University of Manchester and with the option to access the event online. Ticket options reflect this: with online and physical tickets available. *Please note: please only choose physical tickets if you are able to attend in person* For 2022 only, the conference is free!

Conference topics will include:

Explainable and causal approaches to AI Ethical and responsible AI Explainable AI and Natural Language Processing AI for Health

Speakers confirmed so far:

Virginia Aglietti, Deepmind: Causal decision-making in static and dynamic settings Nikolaos Aletras, Lecturer in Natural Language Processing, The University of Sheffield: How can we improve explanation faithfulness in NLP? Umang Bhatt, University of Cambridge and The Alan Turing Institute: Challenges and frontiers in deploying transparent machine learning Sylvie Delacroix, University of Birmingham: Data trusts as bottom-up data empowerment infrastructure Melanie Fernandez Pradier, Microsoft Research: Title TBC Darminder Ghataoura, Fujitsu: What are the barriers for closer Human –Machine Teaming? David Leslie, Director for Ethical and Trustworthy AI, The Alan Turing Institute: From principles to practice and back again: Building a responsible AI ecosystem from the ground up Christina Lioma, Professor in Computer Science, University of Copenhagen: Pitfalls with ablation in neural network architectures Andre Martins, Associate Professor, Instituto Superior Tecnico, Lisbon: Towards explainable and uncertainty-aware NLP Naoaki Okazaki, Professor, Okazaki Lab, Tokyo Institute of Technology: Towards controllable, faithful, and explainable text generation Alfredo Vellido, Polytechnic University of Catalonia: Explain yourself: XAI as social responsibility
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[1] URL: https://theconversation.com/uk/events/advances-in-data-science-conference-2022-10476
[2] URL: https://creativecommons.org/licenses/by-nd/4.0/

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