Jacob Metcalf

According to our database, Jacob Metcalf authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Participation versus scale: Tensions in the practical demands on participatory AI.

Meg Young, Upol Ehsan, Ranjit Singh, Emnet Tafesse, Michele Gilman, Christina Harrington, Jacob Metcalf

First Monday, April, 2024

Introduction for the special issue of "Ideologies of AI and the consolidation of power": Naming power.

Jenna Burrell, Jacob Metcalf

First Monday, April, 2024

Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability.

Lucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Jacob Metcalf, J. Nathan Matias

CoRR, 2024

Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability.

Lucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Alan Smith, Jacob Metcalf, J. Nathan Matias, et al.

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Auditing Work: Exploring the New York City algorithmic bias audit regime.

Lara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action.

Tina M. Park, Adriana Alvarado Garcia, Juana Catalina Becerra Sandoval, Jiyoo Chang, Bill Curtis-Davidson, Remi Denton, Seeta Peña Gangadharan, Lara Groves, Jerremy Holland, Kenneth Holstein, Tamara Kneese, Jacob Metcalf, Emanuel Moss, Wilneida Negrón, Afsaneh Rigot, Lauren Wilcox

Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

2023

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability.

Jacob Metcalf, Ranjit Singh, Emanuel Moss, Emnet Tafesse, Elizabeth Anne Watkins

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Obligations to assess: Recent trends in AI accountability regulations.

Serena Oduro, Emanuel Moss, Jacob Metcalf

Patterns, 2022

A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation.

Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafese, Elizabeth Anne Watkins

CoRR, 2022

The Algorithmic Imprint.

Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research.

Katie Shilton, Emanuel Moss, Sarah A. Gilbert, Matthew J. Bietz, Casey Fiesler, Jacob Metcalf, Jessica Vitak, Michael Zimmer

Big Data Soc., July, 2021

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts.

Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Governing Algorithmic Systems with Impact Assessments: Six Observations.

Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response.

Emanuel Moss, Jacob Metcalf

Patterns, 2020

Beyond Checklist Approaches to Ethics in Design.

Richmond Y. Wong, Karen Boyd, Jake Metcalf, Katie Shilton

Proceedings of the Companion Publication of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2020

2017

Ten simple rules for responsible big data research.

Matthew Zook, Solon Barocas, danah boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara König, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale

PLoS Comput. Biol., 2017

2016

Where are human subjects in Big Data research? The emerging ethics divide.

Jacob Metcalf, Kate Crawford

Big Data Soc., June, 2016

Big data analytics and revision of the common rule.

Jacob Metcalf

Commun. ACM, 2016