A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers

Simple item page
dc.catalogadorjca
dc.contributor.authorArriagada Bruneau, Gabriela
dc.contributor.authorLopez, Claudia
dc.contributor.authorDavidoff, Alexandra
dc.date.accessioned2025-03-17T13:22:44Z
dc.date.available2025-03-17T13:22:44Z
dc.date.issued2024
dc.description.abstractWe introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identify, map, and relate biases across the AI development process. This approach addresses the limitations of what we call the "isolationist approach to AI bias," a trend in AI literature where biases are seen as separate occurrences linked to specific stages in an AI pipeline. Dealing with these multiple biases can trigger a sense of excessive overload in managing each potential bias individually or promote the adoption of an uncritical approach to understanding the influence of biases in developers' decision-making. The BNA fosters dialogue and a critical stance among developers, guided by external experts, using graphical representations to depict biased connections. To test the BNA, we conducted a pilot case study on the "waiting list" project, involving a small AI developer team creating a healthcare waiting list NPL model in Chile. The analysis showed promising findings: (i) the BNA aids in visualizing interconnected biases and their impacts, facilitating ethical reflection in a more accessible way; (ii) it promotes transparency in decision-making throughout AI development; and (iii) more focus is necessary on professional biases and material limitations as sources of bias in AI development.
dc.fechaingreso.objetodigital2025-03-17
dc.format.extent29 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1007/s11948-024-00526-9
dc.identifier.eissn1471-5546
dc.identifier.issn1353-3452
dc.identifier.urihttps://doi.org/10.1007/s11948-024-00526-9
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/102648
dc.identifier.wosidWOS:001379072600001
dc.information.autorucInstituto de Ingeniería Matemática y Computacional; Arriagada Bruneau, Gabriela Constanza; S/I; 217928
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido completo
dc.revistaScience and Engineering Ethics
dc.rightsacceso abierto
dc.rights.licenseAttribution 4.0 International License
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAI bias
dc.subjectAI ethics
dc.subjectSociotechnical
dc.subjectProfessional bias
dc.subjectDecision-making
dc.titleA Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers
dc.typeartículo
dc.volumen31
sipa.codpersvinculados217928
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
s11948-024-00526-9.pdf
Size:
1.52 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de revistas