Big data analytics and revision of the common rule. - Jacob Metcalf (Commun. ACM, 2016)

Where are human subjects in Big Data research? The emerging ethics divide. - Jacob Metcalf; Kate Crawford 002 (Big Data Soc., 2016)

Ten simple rules for responsible big data research. - Matthew Zook; Solon Barocas; danah boyd; Kate Crawford 002; Emily Keller; Seeta Peña Gangadharan; Alyssa Goodman; Rachelle Hollander; Barbara König 002; Jacob Metcalf; Arvind Narayanan; Alondra Nelson; et al. (PLoS Comput. Biol., 2017)

Beyond Checklist Approaches to Ethics in Design. - Richmond Y. Wong; Karen Boyd; Jake Metcalf; Katie Shilton (CSCW Companion, 2020)

High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response. - Emanuel Moss; Jacob Metcalf (Patterns, 2020)

Governing Algorithmic Systems with Impact Assessments: Six Observations. - Elizabeth Anne Watkins; Emanuel Moss; Jacob Metcalf; Ranjit Singh 001; Madeleine Clare Elish (AIES, 2021)

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts. - Jacob Metcalf; Emanuel Moss; Elizabeth Anne Watkins; Ranjit Singh 001; Madeleine Clare Elish (FAccT, 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 004 (Big Data Soc., 2021)

The Algorithmic Imprint. - Upol Ehsan; Ranjit Singh 001; Jacob Metcalf; Mark O. Riedl (FAccT, 2022)

A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation. - Jacob Metcalf; Emanuel Moss; Ranjit Singh 001; Emnet Tafese; Elizabeth Anne Watkins (CoRR, 2022)

Obligations to assess: Recent trends in AI accountability regulations. - Serena Oduro; Emanuel Moss; Jacob Metcalf (Patterns, 2022)

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. - Jacob Metcalf; Ranjit Singh 001; Emanuel Moss; Emnet Tafesse; Elizabeth Anne Watkins (FAccT, 2023)

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; et al. (CSCW Companion, 2024)

Auditing Work: Exploring the New York City algorithmic bias audit regime. - Lara Groves; Jacob Metcalf; Alayna Kennedy; Briana Vecchione; Andrew Strait (FAccT, 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. (FAccT, 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)

Introduction for the special issue of "Ideologies of AI and the consolidation of power": Naming power. - Jenna Burrell; Jacob Metcalf (First Monday, 2024)

Participation versus scale: Tensions in the practical demands on participatory AI. - Meg Young; Upol Ehsan; Ranjit Singh 001; Emnet Tafesse; Michele Gilman; Christina Harrington; Jacob Metcalf (First Monday, 2024)

Stop treating 'AGI' as the north-star goal of AI research. - 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; et al. (CoRR, 2025)