Rumman Chowdhury

According to our database, Rumman Chowdhury authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

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, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan

CoRR, 2024

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, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

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, John Bansemer, Mikel Rodriguez, Mitt Regan, Rumman Chowdhury, Stefan Hermanek

CoRR, 2023

2022

A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability.

Mona Sloane, Emanuel Moss, Rumman Chowdhury

Patterns, 2022

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

2021

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

2020

Assessing the intersection of organizational structure and FAT* efforts within industry: implications tutorial.

Bogdana Rakova, Rumman Chowdhury, Jingying Yang

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Human self-determination within algorithmic sociotechnical systems.

Bogdana Rakova, Rumman Chowdhury

CoRR, 2019