Human self-determination within algorithmic sociotechnical systems. - Bogdana Rakova; Rumman Chowdhury (CoRR, 2019)

Assessing the intersection of organizational structure and FAT* efforts within industry: implications tutorial. - Bogdana Rakova; Rumman Chowdhury; Jingying Yang (FAT*, 2020)

Where Responsible AI meets Reality: Practitioner Perspectives on Enablers for Shifting Organizational Practices. - Bogdana Rakova; Jingying Yang; Henriette Cramer; Rumman Chowdhury (Proc. ACM Hum. Comput. Interact., 2021)

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. - Tomo Lazovich; Luca Belli; Aaron Gonzales; Amanda Bower; Uthaipon Tantipongpipat; Kristian Lum; Ferenc Huszár; Rumman Chowdhury (Patterns, 2022)

A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability. - Mona Sloane; Emanuel Moss; Rumman Chowdhury (Patterns, 2022)

Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications. - Micah Musser; Andrew Lohn; James X. Dempsey; Jonathan M. Spring; Ram Shankar Siva Kumar; Brenda Leong; Christina Liaghati; Cindy Martinez; Crystal D. Grant; Daniel Rohrer; Heather Frase; Jonathan Elliott; et al. (CoRR, 2023)

International Institutions for Advanced AI. - Lewis Ho; Joslyn Barnhart; Robert Trager; Yoshua Bengio; Miles Brundage; Allison Carnegie; Rumman Chowdhury; Allan Dafoe; Gillian K. Hadfield; Margaret Levi; Duncan Snidal (CoRR, 2023)

Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework. - Markus Anderljung; Everett Thornton Smith; Joe O'Brien; Lisa Soder; Benjamin Bucknall; Emma Bluemke; Jonas Schuett; Robert Trager; Lacey Strahm; Rumman Chowdhury (CoRR, 2023)

Position: On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (ICML, 2024)

On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (CoRR, 2024)

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI. - Shayne Longpre; Kevin Klyman; Ruth E. Appel; Sayash Kapoor; Rishi Bommasani; Michelle Sahar; Sean McGregor; Avijit Ghosh; Borhane Blili-Hamelin; Nathan Butters; Alondra Nelson; Amit Elazari; et al. (CoRR, 2025)

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. - Reva Schwartz; Rumman Chowdhury; Akash Kundu; Heather Frase; Marzieh Fadaee; Tom David; Gabriella Waters; Afaf Taik; Morgan Briggs; Patrick Hall; Shomik Jain; Kyra Yee; et al. (CoRR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)