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Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2494719552

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

About this item

Full title

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

As predictive models are increasingly being deployed to make a variety of consequential decisions, there is a growing emphasis on designing algorithms that can provide recourse to affected individuals. Existing recourse algorithms function under the assumption that the underlying predictive model does not change. However, models are regularly updat...

Alternative Titles

Full title

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2494719552

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2494719552

Other Identifiers

E-ISSN

2331-8422

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