Towards a multi-stakeholder value-based assessment framework for algorithmic systems-Reference-Cited by-同舟云学术

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Yurrita Mireia¹,Murray-Rust Dave¹,Balayn Agathe²,Bozzon Alessandro³

Affiliation:

1. Human Information Communication Design, TU Delft, Netherlands

2. Web Information Systems, TU Delft, Netherlands

3. Knowledge and Intelligence Design, TU Delft, Netherlands

Funder

European Union's Horizon 2020 under the Marie Sklodowska-Curie grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533118

Reference209 articles.

1. Roles for computing in social change

2. Auditing black-box models for indirect influence

3. AI Ethics Impact Group (AIEIG). 2020. From Principles to Practice An interdisciplinary framework to operationalise AI ethics. https://www.ai-ethics-impact.org/resource/blob/1961130/c6db9894ee73aefa489d6249f5ee2b9f/aieig---report---download-hb-data.pdf AI Ethics Impact Group (AIEIG). 2020. From Principles to Practice An interdisciplinary framework to operationalise AI ethics. https://www.ai-ethics-impact.org/resource/blob/1961130/c6db9894ee73aefa489d6249f5ee2b9f/aieig---report---download-hb-data.pdf

4. Designing for human rights in AI

5. Nirav Ajmeri , Hui Guo , Pradeep K Murukannaiah , and Munindar P Singh . 2020 . Elessar: Ethics in Norm-Aware Agents . Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 16–24 . Nirav Ajmeri, Hui Guo, Pradeep K Murukannaiah, and Munindar P Singh. 2020. Elessar: Ethics in Norm-Aware Agents. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 16–24.

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