Jean Garcia-Gathright

Principal Applied Scientist

Publications

Afficher par:

- Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  Findings of the Association for Computational Linguistics: ACL 2025 | July 2025
  
  Publication
- Taxonomizing Representational Harms using Speech Act Theory
  
  Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alex Chouldechova, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna Wallach
  
  March 2025
  
  Publication
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication
- A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
  
  Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
  
  December 2024
  
  Publication
- Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  November 2024
  
  Publication
- Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  November 2024
  
  Publication

- Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  Findings of the Association for Computational Linguistics: ACL 2025 | July 2025
  
  Publication
- Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  Findings of the Association for Computational Linguistics: ACL 2025 | July 2025
  
  Publication
- Taxonomizing Representational Harms using Speech Act Theory
  
  Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alex Chouldechova, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna Wallach
  
  March 2025
  
  Publication
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication
- A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
  
  Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
  
  December 2024
  
  Publication
- Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  November 2024
  
  Publication
- Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  November 2024
  
  Publication
- Taxonomizing Representational Harms using Speech Act Theory
  
  Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alex Chouldechova, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna Wallach
  
  March 2025
  
  Publication
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication
- A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
  
  Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
  
  December 2024
  
  Publication
- Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  November 2024
  
  Publication
- Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  November 2024
  
  Publication

- Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  Findings of the Association for Computational Linguistics: ACL 2025 | July 2025
  
  Publication
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication
- Taxonomizing Representational Harms using Speech Act Theory
  
  Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alex Chouldechova, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna Wallach
  
  March 2025
  
  Publication
- A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
  
  Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
  
  December 2024
  
  Publication
- Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
  
  Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
  
  November 2024
  
  Publication
- Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  November 2024
  
  Publication

Jean Garcia-Gathright

Publications

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems

Taxonomizing Representational Harms using Speech Act Theory

Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge

A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts

Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems

Evaluating Generative AI Systems is a Social Science Measurement Challenge

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems

Taxonomizing Representational Harms using Speech Act Theory

Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge

A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts

Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems

Evaluating Generative AI Systems is a Social Science Measurement Challenge

Taxonomizing Representational Harms using Speech Act Theory

Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge

A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts

Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems

Evaluating Generative AI Systems is a Social Science Measurement Challenge

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems

Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge

Taxonomizing Representational Harms using Speech Act Theory

A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts

Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems

Evaluating Generative AI Systems is a Social Science Measurement Challenge