Literature DB >> 30018439

AI can be sexist and racist - it's time to make it fair.

James Zou, Londa Schiebinger.   

Abstract

Keywords:  Information technology; Society

Mesh：

Year:  2018        PMID： 30018439     DOI： 10.1038/d41586-018-05707-8

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  51 in total

1.  Realising the benefits of data driven digitalisation without ignoring the risks: health data governance for health and human rights.

Authors:  Stefan Germann; Ursula Jasper
Journal:  Mhealth       Date:  2020-10-05

2.  Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

Authors:  Benjamin D Wissel; Hansel M Greiner; Tracy A Glauser; Francesco T Mangano; Daniel Santel; John P Pestian; Rhonda D Szczesniak; Judith W Dexheimer
Journal:  Epilepsia       Date:  2019-08-23       Impact factor: 5.864

3.  Addressing bias in prediction models by improving subpopulation calibration.

Authors:  Noam Barda; Gal Yona; Guy N Rothblum; Philip Greenland; Morton Leibowitz; Ran Balicer; Eitan Bachmat; Noa Dagan
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

Review 4.  Sex and gender analysis improves science and engineering.

Authors:  Cara Tannenbaum; Robert P Ellis; Friederike Eyssel; James Zou; Londa Schiebinger
Journal:  Nature       Date:  2019-11-06       Impact factor: 49.962

5.  Treating health disparities with artificial intelligence.

Authors:  Irene Y Chen; Shalmali Joshi; Marzyeh Ghassemi
Journal:  Nat Med       Date:  2020-01       Impact factor: 53.440

Review 6.  Illuminating the dark spaces of healthcare with ambient intelligence.

Authors:  Albert Haque; Arnold Milstein; Li Fei-Fei
Journal:  Nature       Date:  2020-09-09       Impact factor: 49.962

Review 7.  Shifting machine learning for healthcare from development to deployment and from models to data.

Authors:  Angela Zhang; Lei Xing; James Zou; Joseph C Wu
Journal:  Nat Biomed Eng       Date:  2022-07-04       Impact factor: 25.671

Review 8.  How to evaluate deep learning for cancer diagnostics - factors and recommendations.

Authors:  Roxana Daneshjou; Bryan He; David Ouyang; James Y Zou
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-01-26       Impact factor: 10.680

Review 9.  Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.

Authors:  Xiaoxuan Liu; Samantha Cruz Rivera; David Moher; Melanie J Calvert; Alastair K Denniston
Journal:  Lancet Digit Health       Date:  2020-09-09

Review 10.  Digital Technologies and Data Science as Health Enablers: An Outline of Appealing Promises and Compelling Ethical, Legal, and Social Challenges.

Authors:  João V Cordeiro
Journal:  Front Med (Lausanne)       Date:  2021-07-08
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