puzzle pieces with text on them: causality, robustness, fairness, explainability, security, accountability, privacy
Workshop

ELLIS Program Workshop on Causethical ML

July 26th, 2021 - July 26th, 2021
09:00 - 19:00
Virtual
Specifically, the workshop focuses on investigating progress in the five fields of fairness, explainability, robustness, privacy and security and accountability in ML through a causal lense.

Causality and ethical ML are two mostly disjoint fields in machine learning. Recently, their intersection is attracting increasing attention as models are deployed for consequential decision-making domains. However, most existing literature only sporadically explores this field. The aim of this workshop is to bring these efforts together to open a channel of discussion and potential collaborations to fill the gaps.

Co-Organised by the ELLIS Programs:

ELLIS Human-centric Machine Learning

ELLIS Robust Machine Learning

ELLIS Interactive Learning and Interventional Representations

ELLIS Edge Newsletter
Join the 6,000+ people who get the monthly newsletter filled with the latest news, jobs, events and insights from the ELLIS Network.