Aspen K. Hopkins

According to our database, Aspen K. Hopkins authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services.

Aspen K. Hopkins, Sarah H. Cen, Andrew Ilyas, Isabella Struckman, Luis Videgaray, Aleksander Madry

CoRR, April, 2025

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains.

Aspen K. Hopkins, Isabella Struckman, Kevin Klyman, Susan S. Silbey

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

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

Designing Data: Proactive Data Collection and Iteration for Machine Learning.

Aspen K. Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz

CoRR, 2023

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.

Kenneth Li, Aspen K. Hopkins, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development.

Aspen K. Hopkins, Serena Booth

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors.

Aspen K. Hopkins, Michael Correll, Arvind Satyanarayan

Comput. Graph. Forum, 2020