A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers: A Bias Network Approach (BNA) to Encourage Ethical Reflection...: G. Arriagada et al.
We 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 s...
| Publicado en: | Science & Engineering Ethics Vol. 31; no. 1; pp. 1 - 30 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=181710065&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 181710065 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Feb2025 vid: 31 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 181710065 10.1007/s11948-024-00526-9 ppf: 1 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.5MB tig: atl: A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers: A Bias Network Approach (BNA) to Encourage Ethical Reflection...: G. Arriagada et al. aug: au: Arriagada-Bruneau, Gabriela López, Claudia Davidoff, Alexandra affil: https://ror.org/04teye511 Instituto de Éticas Aplicadas, Instituto de Ingeniería Matemática y Computacional, Pontificia Universidad Católica de Chile, Avenida Vicuña Mackenna, 4860, Santiago, Chile Centro Nacional de Inteligencia Artificial (CENIA), Santiago, Chile https://ror.org/05510vn56 Departamento de Informática, Universidad Técnica Federico Santa María, Avenida España, 1680, Valparaíso, Chile Sociology of Childhood and Children's Rights, Social Research Institute, UCL. 20 Bedford Way, London, UK Nucleo Futures of Artificial Intelligence Research (FAIR), Santiago, Chile su: Professional ethics Artificial intelligence Pilot projects Decision making sug: subj: Professional ethics Artificial intelligence Pilot projects Decision making keyword: AI bias AI ethics Decision-making Professional bias Sociotechnical ab: We 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2025. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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