Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

Vanessa A Hanschke; Dylan Rees; Merve Alanyali; David Hopkinson; Paul Marshall

doi:10.1145/3613904.3642402

Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

Vanessa A Hanschke, Dylan Rees, Merve Alanyali, David Hopkinson, Paul Marshall

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

Researchers urge technology practitioners such as data scientists to consider the impacts and ethical implications of algorithmic decisions. However, unlike programming, statistics, and data management, discussion of ethical implications is rarely included in standard data science training. To begin to address this gap, we designed and tested a toolbox called the data ethics emergency drill (DEED) to help data science teams discuss and reflect on the ethical implications of their work. The DEED is a roleplay of a fictional ethical emergency scenario that is contextually situated in the team’s specific workplace and applications. This paper outlines the DEED toolbox and describes three studies carried out with two different data science teams that iteratively shaped its design. Our findings show that practitioners can apply lessons learnt from the roleplay to real-life situations, and how the DEED opened up conversations around ethics and values.

Original language	English
Title of host publication	CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
Publisher	Association for Computing Machinery (ACM)
Number of pages	18
ISBN (Electronic)	9798400703300
ISBN (Print)	979-8-4007-0330-0
DOIs	https://doi.org/10.1145/3613904.3642402
Publication status	Accepted/In press - 12 Mar 2024
Event	The ACM (Association of Computing Machinery) CHI conference on Human Factors in Computing Systems - Hawaiʻi Convention Center, Honolulu, United States Duration: 11 May 2024 → 16 May 2024 https://chi2024.acm.org/

Conference

Conference	The ACM (Association of Computing Machinery) CHI conference on Human Factors in Computing Systems
Abbreviated title	CHI '24
Country/Territory	United States
City	Honolulu
Period	11/05/24 → 16/05/24
Internet address	https://chi2024.acm.org/

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© 2024 Copyright held by the owner/author(s)

Research Groups and Themes

Bristol Interaction Group

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10.1145/3613904.3642402Licence: CC BY-NC

Full-text PDF (final published version) Final published version, 6.68 MBLicence: CC BY-NC

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title = "Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams",

abstract = "Researchers urge technology practitioners such as data scientists to consider the impacts and ethical implications of algorithmic decisions. However, unlike programming, statistics, and data management, discussion of ethical implications is rarely included in standard data science training. To begin to address this gap, we designed and tested a toolbox called the data ethics emergency drill (DEED) to help data science teams discuss and reflect on the ethical implications of their work. The DEED is a roleplay of a fictional ethical emergency scenario that is contextually situated in the team{\textquoteright}s specific workplace and applications. This paper outlines the DEED toolbox and describes three studies carried out with two different data science teams that iteratively shaped its design. Our findings show that practitioners can apply lessons learnt from the roleplay to real-life situations, and how the DEED opened up conversations around ethics and values.",

author = "Hanschke, {Vanessa A} and Dylan Rees and Merve Alanyali and David Hopkinson and Paul Marshall",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s); The ACM (Association of Computing Machinery) CHI conference on Human Factors in Computing Systems, CHI '24 ; Conference date: 11-05-2024 Through 16-05-2024",

year = "2024",

month = mar,

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doi = "10.1145/3613904.3642402",

language = "English",

isbn = "979-8-4007-0330-0",

booktitle = "CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

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Hanschke, VA, Rees, D, Alanyali, M, Hopkinson, D & Marshall, P 2024, Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams. in CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems., 470, Association for Computing Machinery (ACM), The ACM (Association of Computing Machinery) CHI conference on Human Factors in Computing Systems, Honolulu, Hawaii, United States, 11/05/24. https://doi.org/10.1145/3613904.3642402

Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams. / Hanschke, Vanessa A; Rees, Dylan; Alanyali, Merve et al.
CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery (ACM), 2024. 470.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Rees, Dylan

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AU - Hopkinson, David

AU - Marshall, Paul

PY - 2024/3/12

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N2 - Researchers urge technology practitioners such as data scientists to consider the impacts and ethical implications of algorithmic decisions. However, unlike programming, statistics, and data management, discussion of ethical implications is rarely included in standard data science training. To begin to address this gap, we designed and tested a toolbox called the data ethics emergency drill (DEED) to help data science teams discuss and reflect on the ethical implications of their work. The DEED is a roleplay of a fictional ethical emergency scenario that is contextually situated in the team’s specific workplace and applications. This paper outlines the DEED toolbox and describes three studies carried out with two different data science teams that iteratively shaped its design. Our findings show that practitioners can apply lessons learnt from the roleplay to real-life situations, and how the DEED opened up conversations around ethics and values.

AB - Researchers urge technology practitioners such as data scientists to consider the impacts and ethical implications of algorithmic decisions. However, unlike programming, statistics, and data management, discussion of ethical implications is rarely included in standard data science training. To begin to address this gap, we designed and tested a toolbox called the data ethics emergency drill (DEED) to help data science teams discuss and reflect on the ethical implications of their work. The DEED is a roleplay of a fictional ethical emergency scenario that is contextually situated in the team’s specific workplace and applications. This paper outlines the DEED toolbox and describes three studies carried out with two different data science teams that iteratively shaped its design. Our findings show that practitioners can apply lessons learnt from the roleplay to real-life situations, and how the DEED opened up conversations around ethics and values.

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DO - 10.1145/3613904.3642402

M3 - Conference Contribution (Conference Proceeding)

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BT - CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems

PB - Association for Computing Machinery (ACM)

Y2 - 11 May 2024 through 16 May 2024

ER -

Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

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