Connectionists: RSS Workshop on Interpretable Machine Learning and Causal Inference, 15th Dec 2020

[richard at autap.se]

The Royal Statistical Society's Computational Statistics and Machine  
Learning Section are delighted to invite you to a half-day online  
workshop on Interpretable Machine Learning and Causal Inference, to be  
held on Tuesday 15th December 2020. Details and sign-up are at:

https://rss.org.uk/training-events/events/events-2020/sections/interpretable-machine-learning-causal-inferenc-(1)/

OVERVIEW:
Interpretable machine learning and causal inference are both hot  
topics, related in the kinds of problems they can be applied to. Each  
aims to address deficiencies in conventional machine learning and  
statistical approaches to model building. We believe researchers and  
practitioners working in each community have much to learn from each  
other, but that without first establishing common ground and defining  
clear boundaries, communication and collaboration will be difficult.  
In this workshop, we will hear from four experts about their own  
research investigating methods and applications in these two areas,  
which we hope will highlight both the commonalities and differences  
between them. We also anticipate a lively discussion after the  
presentations.

SCHEDULE (ALL TIMES GMT):
13:00 - 13:15 Introduction & welcome
13:15 - 13:55 Peter Tennant (University of Leeds & Alan Turing  
Institute) - "Table 2 Fallacy: Or why interpretation needs more than  
transparency"
13:55 - 14:00 - Break -
14:00 - 14:40 Noemi Kreif (University of York) - "Using causal machine  
learning to explore heterogeneous responses to policies"
14:40 - 15:05 - Break -
15:05 - 15:45 Alessandra Russo (Imperial College) - "Symbolic machine  
learning for interpretable AI: recent advancements and future  
directions"
15:45 - 15:50 - Break -
15:50 - 16:30 Vera Liao (IBM Research) - "Questioning the AI: towards  
human-centered interpretable machine learning"
16:30 - 17:00 Further questions/general discussion/wrap up

Details/sign-up:  
https://rss.org.uk/training-events/events/events-2020/sections/interpretable-machine-learning-causal-inferenc-(1)/

Many thanks,

Richard Tomsett
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