From Data Ethics to Data Justice in/as Pedagogy (Dispatch)

Zeffiro, Andrea

doi:10.26522/ssj.v15i3.2546

Cited by 5 publications

(4 citation statements)

References 13 publications

(17 reference statements)

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“…FAccT must also respond to contemporary and historical struggles against oppression by engaging in critical reflection and by re-centering its organizing principles and work [15,17,34,70] toward political action [27,48,65], resistance [30,68], and justice [14]. Venues such as FAccT would better serve the aims of AI ethics by embracing an "agonistic" approach to discourse, both within its research subjects and in its organizing principles.…”

Section: Discussionmentioning

confidence: 99%

Confronting Power and Corporate Capture at the FAccT Conference

Young

Katell

Krafft

2022

2022 ACM Conference on Fairness, Accountability, and Transparency

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Fields such as medicine and public health attest to deep conflict of interest concerns present when private companies fund evaluation of their own products and services. We draw on these lessons to consider corporate capture of the ACM Fairness, Accountability, and Transparency (FAccT) conference. We situate our analysis within scholarship on the entanglement of industry and academia and focus on the silences it produces in the research record. Our analysis of the institutional design at FAccT indicates the conference's neglect of those people most negatively impacted by algorithmic systems. We focus on a 2021 paper by Wilson et al., "Building and auditing fair algorithms: A case study in candidate screening" as a key example of conflicted research accepted via peer review at FAccT. We call on the conference to (1) lead on models for how to manage conflicts of interest in the field of computing beyond individual disclosure of funding sources, (2) hold space for advocates and activists able to speak directly to questions of algorithmic harm, and (3) reconstitute the conference with attention to fostering agonistic dissensus-un-making the present manufactured consensus and nurturing challenges to power. These changes will position our community to contend with the political dimensions of research on AI harms. CCS CONCEPTS• Social and professional topics → Codes of ethics; Funding; Political speech; Governmental regulations.

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Section: Discussionmentioning

confidence: 99%

Confronting Power and Corporate Capture at the FAccT Conference

Young

Katell

Krafft

2022

2022 ACM Conference on Fairness, Accountability, and Transparency

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“…Given that data exist prior to their analysis and are not limited to a particular constellation of technologies, we consider "data ethics" as a bridge between these related fields. While this paper will not delve into the subtle overlaps and important distinctions between these unique fields of research and education, we acknowledge these distinctions and suggest the following literature for further insight (Fiesler et al, 2020;Hao, 2021;Metcalf et al, 2015;Nkonde and Patton, 2021;Ochigame, 2019;Raji et al, 2021;Sloane, 2019;Taylor, 2017;Thomas and Wiggins, 2019;Zeffiro, 2021).…”

Section: Background and Related Workmentioning

confidence: 97%

Mapping data ethics curricula

Reeve

Zaugg

Tian

2022

JICES

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Purpose As data-driven tools increasingly shape our life and tech ethics crises become strikingly frequent, data ethics coursework is urgently needed. The purpose of this study is to map the field of data ethics curricula, tracking relations between courses, instructors, texts and writers, and present a proof-of-concept interactive website for exploring these relations. This method is designed to be used in curricular research and development and provides multiple vantage points on this multidisciplinary field. Design/methodology/approach The authors use data science methods to foster insights about the field of data ethics education and literature. The authors present a semantic, linked open data graph in the Resource Description Framework, along with proof-of-concept analyses and an exploratory website. Its framework is open-source and language-agnostic, providing the seed for future contributions of code, syllabi and resources from the global data ethics community. Findings This method provides a convenient means of exploring an overview of the field of data ethics’ social and textual relations. For educators designing or refining a course, the authors provide a method for curricular introspection and discovery of transdisciplinary curricula. Research limitations/implications The syllabi the authors have collected are self-selected and represent only a subset of the field. Furthermore, this method exclusively represents a course’s assigned literature rather than a holistic view of what courses teach. The authors present a prototype rather than a finished product. Originality/value This curricular survey provides a new way of modeling a field of study, using existing ontologies to organize graph data into a comprehensible overview. This framework may be repurposed to map the institutional knowledge structures of other disciplines, as well.

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“…Research with human participants in Canada is governed by the federal government's Tri‐Council Policy Statement for Ethical Conduct of Research Involving Humans (2018). In a recent review of the ethics documents that regulate research in specific Canadian universities, Zeffiro (2021) found that not a single institution (including our own) provided ethical guidance for research that relies on social media data; they all referred researchers to Tri‐Council guidelines, which we consulted for direction on the ethical dimensions of employing YouTube vlogs as a data source. Those guidelines categorize vlogs as non‐intrusive web‐based data in that there is no direct, engaged interaction between researcher and participants and participants post videos in the public domain with no expectation of privacy.…”

Section: Concerns Related To Using Vlogsmentioning

confidence: 99%

Using YouTube vlogs to study women's experiences of participating in #MeToo

Cook,

O'Halloran

2023

Canadian Review of Sociology

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In our effort to study women's experiences of participating in the #MeToo social movement and the effects it has had on their lives, we employed YouTube vlogs posted under that hashtag, instead of interviews, as our source of experiential data. Few scholars have engaged in detailed reflections on vlogs as a source of qualitative data. Even fewer evaluate vlogs in relation to studying sexual violence, particularly women's experiences of participating in #MeToo. In this paper we contribute to these methodological discussions by reflecting on our use of vlogs in such a study, appraising the productive potentials and concerns related to qualitative vlog data. They afforded us several methodological benefits, but also entailed ethical and analytical challenges. RésuméDans notre effort pour étudier les expériences des femmes qui ont participé au mouvement social #MeToo et les effets qu'il a eus sur leur vie, nous avons utilisé des vlogs YouTube postés sous ce hashtag, au lieu d'interviews, comme source de données expérientielles. Peu de chercheurs se sont engagés dans des réflexionsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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From Data Ethics to Data Justice in/as Pedagogy (Dispatch)

Abstract: N/A

Cited by 5 publications

References 13 publications

Confronting Power and Corporate Capture at the FAccT Conference

Confronting Power and Corporate Capture at the FAccT Conference

Mapping data ethics curricula

Using YouTube vlogs to study women's experiences of participating in #MeToo

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