Co-Design Perspectives on Algorithm Transparency Reporting: Guidelines and Prototypes-Reference-Cited by-同舟云学术

Co-Design Perspectives on Algorithm Transparency Reporting: Guidelines and Prototypes

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
language:
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Author:

Luria Michal¹^ORCID

Affiliation:

1. Center for Democracy & Technology, USA

Funder

Knight Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594064

Reference88 articles.

1. Asha Allan. 2022. A Series on the EU Digital Services Act: Due Diligence in Content Moderation. https://cdt.org/insights/a-series-on-the-eu-digital-services-act-due-diligence-in-content-moderation/ Asha Allan. 2022. A Series on the EU Digital Services Act: Due Diligence in Content Moderation. https://cdt.org/insights/a-series-on-the-eu-digital-services-act-due-diligence-in-content-moderation/

2. Oscar Alvarado , Elias Storms , David Geerts , and Katrien Verbert . 2020 . Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities . In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. ACM, Tallinn Estonia, 1–7. https://doi.org/10 .1145/3419249.3421237 10.1145/3419249.3421237 Oscar Alvarado, Elias Storms, David Geerts, and Katrien Verbert. 2020. Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. ACM, Tallinn Estonia, 1–7. https://doi.org/10.1145/3419249.3421237

3. Mike Ananny and Kate Crawford . 2018. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability . New Media & Society 20, 3 ( March 2018 ), 973–989. https://doi.org/10.1177/1461444816676645 Publisher : SAGE Publications . 10.1177/1461444816676645 Mike Ananny and Kate Crawford. 2018. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society 20, 3 (March 2018), 973–989. https://doi.org/10.1177/1461444816676645 Publisher: SAGE Publications.

4. Albert Prince III Antonie. 2022. Hiding OUT: A Case for Queer Experiences Informing Data Privacy Laws. https://publicknowledge.org/hiding-out-a-case-for-queer-experiences-informing-data-privacy-laws/ Albert Prince III Antonie. 2022. Hiding OUT: A Case for Queer Experiences Informing Data Privacy Laws. https://publicknowledge.org/hiding-out-a-case-for-queer-experiences-informing-data-privacy-laws/

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