Stop treating 'AGI' as the north-star goal of AI research. - Blili-Hamelin, Borhane; Graziul, Christopher; Hancox-Li, Leif; Hazan, Hananel; El-Mhamdi, El-Mahdi; Ghosh, Avijit; Heller, Katherine A.; Metcalf, Jacob; Murai, Fabricio; Salvaggio, Eryk; Smart, Andrew; Snider, Todd; et al. (CoRR, 2025)

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

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

Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action. - Park, Tina M.; Garcia, Adriana Alvarado; Sandoval, Juana Catalina Becerra; Chang, Jiyoo; Curtis-Davidson, Bill; Denton, Remi; Gangadharan, Seeta Peña; Groves, Lara; Holland, Jerremy; Holstein, Kenneth; Kneese, Tamara; Metcalf, Jacob; et al. (2024)

Auditing Work: Exploring the New York City algorithmic bias audit regime. - Groves, Lara; Metcalf, Jacob; Kennedy, Alayna; Vecchione, Briana; Strait, Andrew (2024)

Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability. - Wright, Lucas; Muenster, Roxana Mika; Vecchione, Briana; Qu, Tianyao; Cai, Pika Senhuang; Smith, Alan; Metcalf, Jacob; Matias, J. Nathan; al., et (2024)

Auditing Work: Exploring the New York City algorithmic bias audit regime. - Groves, Lara; Metcalf, Jacob; Kennedy, Alayna; Vecchione, Briana; Strait, Andrew (CoRR, 2024)

Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability. - Wright, Lucas; Muenster, Roxana Mika; Vecchione, Briana; Qu, Tianyao; Cai, Pika Senhuang; Metcalf, Jacob; Matias, J. Nathan (CoRR, 2024)

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

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

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

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

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

Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research. - Shilton, Katie; Moss, Emanuel; Gilbert, Sarah A.; Bietz, Matthew J.; Fiesler, Casey; Metcalf, Jacob; Vitak, Jessica; Zimmer, Michael (Big Data Soc., 2021)

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

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

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

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

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

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

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