Centring dignity in algorithm development: testing a Dignity Lens

Lorenn P. Ruster; Paola Oliva-Altamirano; Katherine A. Daniell

doi:10.1145/3572921.3572938

Centring dignity in algorithm development: testing a Dignity Lens

Lorenn P. Ruster, Paola Oliva-Altamirano, Katherine A. Daniell

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

Against a backdrop of algorithms that disempower, dehumanise, disenfranchise and discriminate, there are increasing calls to centre the human in AI development processes and to humanise AI development in practice; centring dignity in AI development could provide a way forward. Despite the inclusion of dignity in many Artificial Intelligence (AI) ethics frameworks, like many other AI ethics principles, there is little operational understanding of what dignity can look like in practice when it comes to the development of algorithms. Drawing on cybernetics and a model of dignity developed in the field of international conflict resolution, this paper presents our work-in-progress tool - the Dignity Lens - for considering dignity throughout the AI development lifecycle, and practitioner reflections from using the tool. This work is an initial step towards articulating what dignity-centred AI development could look like in practice, assisting practitioners designing and developing algorithms to actively consider dignity.

Original language	English
Title of host publication	Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022)
Editors	Charles Martin, Dana Mckay, Melissa Rogerson, Bronwyn Cumbo, Greg Wadley, Penny Sweetser, Jennyfer Lawrence Taylor, Luke Hespanhol, Jess Tsimeris, Mingze Xi, Jane Turner, Soojeong Yoo, Ned Cooper, Jessica Rahman, Josh Andres, Ajit G. Pillai, Cat Kutay
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	1-8
Number of pages	8
ISBN (Electronic)	9798400700248
DOIs	https://doi.org/10.1145/3572921.3572938
Publication status	Published - 29 Nov 2022
Event	34th Australian Computer-Human Interaction Conference: Connected Creativity, OzCHI 2022 - Canberra, Australia Duration: 29 Nov 2022 → 2 Dec 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	34th Australian Computer-Human Interaction Conference: Connected Creativity, OzCHI 2022
Country/Territory	Australia
City	Canberra
Period	29/11/22 → 2/12/22

Access to Document

10.1145/3572921.3572938

Cite this

Ruster, L. P., Oliva-Altamirano, P., & Daniell, K. A. (2022). Centring dignity in algorithm development: testing a Dignity Lens. In C. Martin, D. Mckay, M. Rogerson, B. Cumbo, G. Wadley, P. Sweetser, J. L. Taylor, L. Hespanhol, J. Tsimeris, M. Xi, J. Turner, S. Yoo, N. Cooper, J. Rahman, J. Andres, A. G. Pillai, & C. Kutay (Eds.), Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022) (pp. 1-8). (ACM International Conference Proceeding Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3572921.3572938

Ruster, Lorenn P. ; Oliva-Altamirano, Paola ; Daniell, Katherine A. / Centring dignity in algorithm development : testing a Dignity Lens. Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022). editor / Charles Martin ; Dana Mckay ; Melissa Rogerson ; Bronwyn Cumbo ; Greg Wadley ; Penny Sweetser ; Jennyfer Lawrence Taylor ; Luke Hespanhol ; Jess Tsimeris ; Mingze Xi ; Jane Turner ; Soojeong Yoo ; Ned Cooper ; Jessica Rahman ; Josh Andres ; Ajit G. Pillai ; Cat Kutay. New York : Association for Computing Machinery (ACM), 2022. pp. 1-8 (ACM International Conference Proceeding Series).

@inproceedings{d744eb4cfcfc404fb5e2a9d86fda63fc,

title = "Centring dignity in algorithm development: testing a Dignity Lens",

abstract = "Against a backdrop of algorithms that disempower, dehumanise, disenfranchise and discriminate, there are increasing calls to centre the human in AI development processes and to humanise AI development in practice; centring dignity in AI development could provide a way forward. Despite the inclusion of dignity in many Artificial Intelligence (AI) ethics frameworks, like many other AI ethics principles, there is little operational understanding of what dignity can look like in practice when it comes to the development of algorithms. Drawing on cybernetics and a model of dignity developed in the field of international conflict resolution, this paper presents our work-in-progress tool - the Dignity Lens - for considering dignity throughout the AI development lifecycle, and practitioner reflections from using the tool. This work is an initial step towards articulating what dignity-centred AI development could look like in practice, assisting practitioners designing and developing algorithms to actively consider dignity.",

keywords = "AI Ethics, Cybernetics, Dignity, Interaction Design",

author = "Ruster, \{Lorenn P.\} and Paola Oliva-Altamirano and Daniell, \{Katherine A.\}",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 34th Australian Computer-Human Interaction Conference: Connected Creativity, OzCHI 2022 ; Conference date: 29-11-2022 Through 02-12-2022",

year = "2022",

month = nov,

day = "29",

doi = "10.1145/3572921.3572938",

language = "English",

series = "ACM International Conference Proceeding Series",

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

pages = "1--8",

editor = "Charles Martin and Dana Mckay and Melissa Rogerson and Bronwyn Cumbo and Greg Wadley and Penny Sweetser and Taylor, \{Jennyfer Lawrence\} and Luke Hespanhol and Jess Tsimeris and Mingze Xi and Jane Turner and Soojeong Yoo and Ned Cooper and Jessica Rahman and Josh Andres and Pillai, \{Ajit G.\} and Cat Kutay",

booktitle = "Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022)",

address = "United States",

}

Ruster, LP, Oliva-Altamirano, P & Daniell, KA 2022, Centring dignity in algorithm development: testing a Dignity Lens. in C Martin, D Mckay, M Rogerson, B Cumbo, G Wadley, P Sweetser, JL Taylor, L Hespanhol, J Tsimeris, M Xi, J Turner, S Yoo, N Cooper, J Rahman, J Andres, AG Pillai & C Kutay (eds), Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022). ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), New York, pp. 1-8, 34th Australian Computer-Human Interaction Conference: Connected Creativity, OzCHI 2022, Canberra, Australia, 29/11/22. https://doi.org/10.1145/3572921.3572938

Centring dignity in algorithm development: testing a Dignity Lens. / Ruster, Lorenn P.; Oliva-Altamirano, Paola; Daniell, Katherine A.
Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022). ed. / Charles Martin; Dana Mckay; Melissa Rogerson; Bronwyn Cumbo; Greg Wadley; Penny Sweetser; Jennyfer Lawrence Taylor; Luke Hespanhol; Jess Tsimeris; Mingze Xi; Jane Turner; Soojeong Yoo; Ned Cooper; Jessica Rahman; Josh Andres; Ajit G. Pillai; Cat Kutay. New York: Association for Computing Machinery (ACM), 2022. p. 1-8 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

TY - GEN

T1 - Centring dignity in algorithm development

T2 - 34th Australian Computer-Human Interaction Conference: Connected Creativity, OzCHI 2022

AU - Ruster, Lorenn P.

AU - Oliva-Altamirano, Paola

AU - Daniell, Katherine A.

PY - 2022/11/29

Y1 - 2022/11/29

N2 - Against a backdrop of algorithms that disempower, dehumanise, disenfranchise and discriminate, there are increasing calls to centre the human in AI development processes and to humanise AI development in practice; centring dignity in AI development could provide a way forward. Despite the inclusion of dignity in many Artificial Intelligence (AI) ethics frameworks, like many other AI ethics principles, there is little operational understanding of what dignity can look like in practice when it comes to the development of algorithms. Drawing on cybernetics and a model of dignity developed in the field of international conflict resolution, this paper presents our work-in-progress tool - the Dignity Lens - for considering dignity throughout the AI development lifecycle, and practitioner reflections from using the tool. This work is an initial step towards articulating what dignity-centred AI development could look like in practice, assisting practitioners designing and developing algorithms to actively consider dignity.

AB - Against a backdrop of algorithms that disempower, dehumanise, disenfranchise and discriminate, there are increasing calls to centre the human in AI development processes and to humanise AI development in practice; centring dignity in AI development could provide a way forward. Despite the inclusion of dignity in many Artificial Intelligence (AI) ethics frameworks, like many other AI ethics principles, there is little operational understanding of what dignity can look like in practice when it comes to the development of algorithms. Drawing on cybernetics and a model of dignity developed in the field of international conflict resolution, this paper presents our work-in-progress tool - the Dignity Lens - for considering dignity throughout the AI development lifecycle, and practitioner reflections from using the tool. This work is an initial step towards articulating what dignity-centred AI development could look like in practice, assisting practitioners designing and developing algorithms to actively consider dignity.

KW - AI Ethics

KW - Cybernetics

KW - Dignity

KW - Interaction Design

UR - http://www.scopus.com/inward/record.url?scp=85153345433&partnerID=8YFLogxK

U2 - 10.1145/3572921.3572938

DO - 10.1145/3572921.3572938

M3 - Conference Paper

T3 - ACM International Conference Proceeding Series

SP - 1

EP - 8

BT - Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022)

A2 - Martin, Charles

A2 - Mckay, Dana

A2 - Rogerson, Melissa

A2 - Cumbo, Bronwyn

A2 - Wadley, Greg

A2 - Sweetser, Penny

A2 - Taylor, Jennyfer Lawrence

A2 - Hespanhol, Luke

A2 - Tsimeris, Jess

A2 - Xi, Mingze

A2 - Turner, Jane

A2 - Yoo, Soojeong

A2 - Cooper, Ned

A2 - Rahman, Jessica

A2 - Andres, Josh

A2 - Pillai, Ajit G.

A2 - Kutay, Cat

PB - Association for Computing Machinery (ACM)

CY - New York

Y2 - 29 November 2022 through 2 December 2022

ER -

Ruster LP, Oliva-Altamirano P, Daniell KA. Centring dignity in algorithm development: testing a Dignity Lens. In Martin C, Mckay D, Rogerson M, Cumbo B, Wadley G, Sweetser P, Taylor JL, Hespanhol L, Tsimeris J, Xi M, Turner J, Yoo S, Cooper N, Rahman J, Andres J, Pillai AG, Kutay C, editors, Proceedings of the 34th Australian Computer-Human Interaction Conference (OzCHI 2022). New York: Association for Computing Machinery (ACM). 2022. p. 1-8. (ACM International Conference Proceeding Series). doi: 10.1145/3572921.3572938

Centring dignity in algorithm development: testing a Dignity Lens

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this