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ICML Workshop on Algorithmic Recourse -- 2nd call for papers
Submission deadline: June 18, 23:59 PT
Author notification: July 9
Website:
https://sites.google.com/view/recourse21
Contact:
recou...@gmail.com
The increasing popularity of machine learning (ML) models in various
high-stakes domains such as finance, criminal justice and healthcare has
resulted in a call for greater transparency into the mechanisms behind
their predictions. Since transparency in algorithmic decision-making
systems has undoubtedly become an ethical and sometimes legal
obligation, there has been a recent surge of interest towards the field
of algorithmic recourse. Algorithmic recourse aims to design mechanisms
that provide actionable feedback about how to change the outcomes of ML
models. In this workshop, we aim to identify how to bridge the gap
between theory and practice for algorithmic recourse.
We welcome submissions of full papers as well as work in progress and
accept submissions of work recently published or currently under review.
Examples of topics of interest include:
- Technical methods for achieving recourse (e.g., via counterfactual
explanations) for various data types (e.g., tabular, image, text, time
series, etc)
- Causal approaches to recourse
- Interactions between recourse and other explainability methods
(e.g., feature attributions, decision rules, influential samples, etc)
- Interactions between recourse and other ethical criteria (e.g., confidentiality, fairness, strategic behavior, etc)
- Human-subject studies examining how stakeholders understand or interact with recourse methods
- Frameworks for operationalizing recourse in practice
- Analysis of shortcomings of existing recourse methods
- Legal perspectives on recourse
- Psychological perspectives on recourse
- Behavioral perspectives on recourse
- Philosophical perspectives on recourse
Submissions must be at most 4 pages long (not including
references and an unlimited number of pages for supplemental material,
which reviewers are not required to take into account) and adhere to the
ICML format. The main content, references and appendices should be
submitted as a single pdf file. Papers should be anonymized and
submitted through CMT.
The workshop will not have formal proceedings, but authors of accepted
papers can choose to have either a link to an arxiv version of their
paper or a pdf published on the workshop webpage.