Jacob Metcalf

21 papers C 1Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Position: Stop treating 'AGI' as the north-star goal of AI research.
ICML (Position Papers)
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2025 J jnl
Stop treating 'AGI' as the north-star goal of AI research.
CoRR
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2024 — conf
Auditing Work: Exploring the New York City algorithmic bias audit regime.
FAccT
Lara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait
2024 J jnl
Auditing Work: Exploring the New York City algorithmic bias audit regime.
CoRR
Lara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait
2024 J jnl
Introduction for the special issue of "Ideologies of AI and the consolidation of power": Naming power.
First Monday
Jenna Burrell, Jacob Metcalf
2024 J jnl
Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability.
CoRR
Lucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Jacob Metcalf, J. Nathan Matias
2024 — conf
Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability.
FAccT
Lucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Alan Smith, Jacob Metcalf, J. Nathan Matias, et al.
2024 J jnl
Participation versus scale: Tensions in the practical demands on participatory AI.
First Monday
Meg Young, Upol Ehsan, Ranjit Singh, Emnet Tafesse, Michele Gilman, Christina N. Harrington, Jacob Metcalf
2024 — conf
Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action.
CSCW Companion
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
2023 — conf
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability.
FAccT
Jacob Metcalf, Ranjit Singh, Emanuel Moss, Emnet Tafesse, Elizabeth Anne Watkins
2022 J jnl
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation.
CoRR
Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafese, Elizabeth Anne Watkins
2022 J jnl
Obligations to assess: Recent trends in AI accountability regulations.
Patterns
Serena Oduro, Emanuel Moss, Jacob Metcalf
2022 — conf
The Algorithmic Imprint.
FAccT
Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl
2022 J jnl
The Algorithmic Imprint.
CoRR
Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl
2021 — conf
Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts.
FAccT
Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish
2021 J jnl
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research.
Big Data Soc.
Katie Shilton, Emanuel Moss, Sarah A. Gilbert, Matthew J. Bietz, Casey Fiesler, Jacob Metcalf, Jessica Vitak, Michael Zimmer
2021 C conf
Governing Algorithmic Systems with Impact Assessments: Six Observations.
AIES
Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish
2020 J jnl
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response.
Patterns
Emanuel Moss, Jacob Metcalf
2017 J jnl
Ten simple rules for responsible big data research.
PLoS Comput. Biol.
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
2016 J jnl
Big data analytics and revision of the common rule.
Commun. ACM
Jacob Metcalf
2016 J jnl
Where are human subjects in Big Data research? The emerging ethics divide.
Big Data Soc.
Jacob Metcalf, Kate Crawford