Data Ethics Club: Creating a collaborative space to discuss data ethics

被引：0

作者：

Di Cara, Nina H. ^{[1
]}

Zelenka, Natalie ^{[2
]}

Day, Huw ^{[3
]}

Bennet, Euan D. S. ^{[4
]}

Hanschke, Vanessa ^{[5
]}

Maggio, Valerio ^{[1
]}

Michalec, Ola ^{[5
,6
]}

Radclyffe, Charles ^{[5
,7
]}

Shkunov, Roman ^{[5
]}

Tonkin, Emma ^{[8
]}

Turner, Zoe ^{[9
]}

Wells, Kamilla ^{[10
]}

机构：

[1] Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS8 2BN, Avon, England

[2] Univ Bristol, Jean Golding Inst Data Intens Res, Bristol BS8 1UH, Avon, England

[3] Univ Bristol, Sch Math, Bristol BS8 1UG, Avon, England

[4] Univ Bristol, Bristol Vet Sch, Bristol BS40 5DU, Avon, England

[5] Univ Bristol, Dept Comp Sci, Bristol BS8 1UB, Avon, England

[6] Univ Bristol, Bristol Cyber Secur Grp, Bristol BS8 1UB, Avon, England

[7] EthicsGrade Ltd, 7-12 Tavistock Sq, London WC1H 9BQ, England

[8] Univ Bristol, Digital Hlth, Bristol BS8 1UB, Avon, England

[9] Nottinghamshire Healthcare NHS Fdn Trust, Nottingham NG3 6AA, England

[10] Australian Publ Serv, Brisbane, Qld, Australia

来源：

PATTERNS | 2022年 / 3卷 / 07期

关键词：

data ethics; DSML2: Proof-of-concept: Data science output has been formulated; implemented; and tested for one domain/problem; interdisciplinary; journal club; open science; open source; responsible innovation;

D O I：

10.1016/j.patter.2022.100537

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Awareness and management of ethical issues in data science are becoming crucial skills for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to allow data-science work to be influenced by those with expertise in sociological fields and so improve the ability of data scientists to think critically about the ethics of their work. However, opportunities to do so are limited. Data Ethics Club is a fortnightly discussion group about data science and ethics whose community-generated resources are hosted publicly online. These include a collaborative list of materials around topics of interest and guides for leading an online data-ethics discussion group. Our meetings and resources are designed to reduce the barriers to learning, reflection, and critique on data science and ethics, with the broader aim of building ethics into the cultural fabric of quality data-science work.

引用

页数：7

共 50 条

[1] The latent space of data ethics
Panai, Enrico
[J]. AI & SOCIETY, 2023,
[2] Creating a space for global media ethics
Ward, Stephen J. A.
[J]. COMMUNICATION RESEARCH AND PRACTICE, 2016, 2 (04) : 466 - 480
[3] AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics
Gijs van Maanen
[J]. Digital Society, 2022, 1 (2):
[4] BIG DATA ETHICS AND SPECIFIC DIFFERENCES FROM GENERAL DATA ETHICS
Novak, Richard
Pavlicek, Antonin
[J]. DIGITALIZED ECONOMY, SOCIETY AND INFORMATION MANAGEMENT (IDIMT-2020), 2020, 49 : 223 - 230
[5] Creating Space for Feminist Ethics in Medical School
Georgina D. Campelia
Ashley Feinsinger
[J]. HEC Forum, 2020, 32 : 111 - 124
[6] Creating Space for Feminist Ethics in Medical School
Campelia, Georgina D.
Feinsinger, Ashley
[J]. HEC FORUM, 2020, 32 (02) : 111 - 124
[7] Data integrity and ethics
Smith, Matthew
[J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 254
[8] Big Data ethics
Zwitter, Andrej
[J]. BIG DATA & SOCIETY, 2014, 1 (02):
[9] What is data ethics?
Floridi, Luciano
Taddeo, Mariarosaria
[J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2016, 374 (2083):
[10] Ethics in Linked Data
Mattock, Lindsay Kistler
[J]. EDUCATION FOR INFORMATION, 2024, 40 (03) : 347 - 349

← 1 2 3 4 5 →