The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers-Reference-Cited by-同舟云学术

The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers

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

Li Hanlin¹^ORCID,Vincent Nicholas²^ORCID,Chancellor Stevie³^ORCID,Hecht Brent⁴^ORCID

Affiliation:

1. University of California, Berkeley, USA

2. University of California, Davis, USA

3. University of Minnesota, USA

4. Northwestern University, USA

Funder

NSF (National Science Foundation)

Northwestern University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594070

Reference90 articles.

1. 2018. Art. 20 GDPR – Right to data portability | General Data Protection Regulation (GDPR). https://gdpr-info.eu/art-20-gdpr 2018. Art. 20 GDPR – Right to data portability | General Data Protection Regulation (GDPR). https://gdpr-info.eu/art-20-gdpr

2. Daron Acemoglu and David Autor . 2011. Skills , tasks and technologies: Implications for employment and earnings . In Handbook of labor economics. Vol. 4 . Elsevier , 1043–1171. Daron Acemoglu and David Autor. 2011. Skills, tasks and technologies: Implications for employment and earnings. In Handbook of labor economics. Vol. 4. Elsevier, 1043–1171.

3. Andrea Agostinelli Timo I. Denk Zalán Borsos Jesse Engel Mauro Verzetti Antoine Caillon Qingqing Huang Aren Jansen Adam Roberts Marco Tagliasacchi Matt Sharifi Neil Zeghidour and Christian Frank. 2023. MusicLM: Generating Music From Text. https://doi.org/10.48550/arXiv.2301.11325 arXiv:2301.11325 [cs eess]. 10.48550/arXiv.2301.11325

4. Andrea Agostinelli Timo I. Denk Zalán Borsos Jesse Engel Mauro Verzetti Antoine Caillon Qingqing Huang Aren Jansen Adam Roberts Marco Tagliasacchi Matt Sharifi Neil Zeghidour and Christian Frank. 2023. MusicLM: Generating Music From Text. https://doi.org/10.48550/arXiv.2301.11325 arXiv:2301.11325 [cs eess].

5. Assessing MyData Scenarios: Ethics, Concerns, and the Promise

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