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Jacob Metcalf
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2020 – today
- 2024
- [j8]Jenna Burrell, Jacob Metcalf:
Introduction for the special issue of "Ideologies of AI and the consolidation of power": Naming power. First Monday 29(4) (2024) - [j7]Meg Young, Upol Ehsan, Ranjit Singh, Emnet Tafesse, Michele Gilman, Christina Harrington, Jacob Metcalf:
Participation versus scale: Tensions in the practical demands on participatory AI. First Monday 29(4) (2024) - [c8]Tina M. Park
, Adriana Alvarado Garcia
Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action. CSCW Companion 2024: 748-751 - [c7]Lara Groves
Auditing Work: Exploring the New York City algorithmic bias audit regime. FAccT 2024: 1107-1120 - [c6]Lucas Wright
Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability. FAccT 2024: 1701-1713 - [i4]Lara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait:
Auditing Work: Exploring the New York City algorithmic bias audit regime. CoRR abs/2402.08101 (2024) - [i3]Lucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Jacob Metcalf, J. Nathan Matias:
Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability. CoRR abs/2406.01399 (2024) - 2023
- [c5]Jacob Metcalf
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. FAccT 2023: 1450-1462 - 2022
- [j6]Serena Oduro, Emanuel Moss, Jacob Metcalf
Obligations to assess: Recent trends in AI accountability regulations. Patterns 3(11): 100608 (2022) - [c4]Upol Ehsan, Ranjit Singh
The Algorithmic Imprint. FAccT 2022: 1305-1317 - [i2]Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafese, Elizabeth Anne Watkins:
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation. CoRR abs/2203.01455 (2022) - [i1]Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl:
The Algorithmic Imprint. CoRR abs/2206.03275 (2022) - 2021
- [j5]Katie Shilton
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research. Big Data Soc. 8(2): 205395172110407 (2021) - [c3]Elizabeth Anne Watkins
Governing Algorithmic Systems with Impact Assessments: Six Observations. AIES 2021: 1010-1022 - [c2]Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins
Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts. FAccT 2021: 735-746 - 2020
- [j4]Emanuel Moss
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response. Patterns 1(7): 100102 (2020) - [c1]Richmond Y. Wong
Beyond Checklist Approaches to Ethics in Design. CSCW Companion 2020: 511-517
2010 – 2019
- 2017
- [j3]Matthew Zook, Solon Barocas
Ten simple rules for responsible big data research. PLoS Comput. Biol. 13(3) (2017) - 2016
- [j2]Jacob Metcalf, Kate Crawford:
Where are human subjects in Big Data research? The emerging ethics divide. Big Data Soc. 3(1): 205395171665021 (2016) - [j1]Jacob Metcalf:
Big data analytics and revision of the common rule. Commun. ACM 59(7): 31-33 (2016)
Coauthor Index
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