Elizabeth Anne Watkins

According to our database, Elizabeth Anne Watkins authored at least 34 papers between 2016 and 2025.

Collaborative distances:

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

2025

Controlling Context: Generative AI at Work in Integrated Circuit Design and Other High-Precision Domains.

Emanuel Moss, Elizabeth Anne Watkins, Christopher Persaud, Passant Karunaratne, Dawn Nafus

CoRR, June, 2025

Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines.

Ramesh Manuvinakurike, Emanuel Moss, Elizabeth Anne Watkins, Saurav Sahay, Giuseppe Raffa, Lama Nachman

CoRR, May, 2025

ACE, Action and Control via Explanations: A Proposal for LLMs to Provide Human-Centered Explainability for Multimodal AI Assistants.

Elizabeth Anne Watkins, Emanuel Moss, Ramesh Manuvinakurike, Meng Shi, Richard Beckwith, Giuseppe Raffa

CoRR, March, 2025

What's So Human about Human-AI Collaboration, Anyway? Generative AI and Human-Computer Interaction.

Elizabeth Anne Watkins, Emanuel Moss, Giuseppe Raffa, Lama Nachman

CoRR, March, 2025

New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits.

Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Nina Hubig, Saiph Savage, Justin D. Weisz, Andreas Riener

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing.

Ramesh Manuvinakurike, Elizabeth Anne Watkins, Celal Savur, Anthony Rhodes, Sovan Biswas, Gesem Gudino Mejia, Richard Beckwith, Saurav Sahay, Giuseppe Raffa, Lama Nachman

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairness.

Elizabeth Anne Watkins, Jiahao Chen

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs).

Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Sunnie S. Y. Kim, Niels van Berkel, Andreas Riener, Mark O. Riedl

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Face Work: A Human-Centered Investigation into Facial Verification in Gig Work.

Elizabeth Anne Watkins

Proc. ACM Hum. Comput. Interact., April, 2023

An Explainable AI User Interface for Facilitating Collaboration between Domain Experts and AI Researchers.

Meng Shi, Celal Savur, Elizabeth Anne Watkins, Ramesh Manuvinakurike, Gesem Gudino Mejia, Richard Beckwith, Giuseppe Raffa

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability.

Jacob Metcalf, Ranjit Singh, Emanuel Moss, Emnet Tafesse, Elizabeth Anne Watkins

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application.

Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction.

Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Human-Centered Explainable AI (HCXAI): Coming of Age.

Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Weaving Privacy and Power: On the Privacy Practices of Labor Organizers in the U.S. Technology Industry.

Sayash Kapoor, Matthew Sun, Mona Wang, Klaudia Jazwinska, Elizabeth Anne Watkins

Proc. ACM Hum. Comput. Interact., 2022

"Have you learned your lesson?" Communities of practice under algorithmic competition.

Elizabeth Anne Watkins

New Media Soc., 2022

A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation.

Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafese, Elizabeth Anne Watkins

CoRR, 2022

The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness.

Elizabeth Anne Watkins, Michael McKenna, Jiahao Chen

CoRR, 2022

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI.

Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups.

Amy A. Winecoff, Elizabeth Anne Watkins

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

The Polysemia of Recognition: Facial Recognition in Algorithmic Management.

Elizabeth Anne Watkins

PhD thesis, 2021

Qualitative Analysis for Human Centered AI.

Orestis Papakyriakopoulos, Elizabeth Anne Watkins, Amy A. Winecoff, Klaudia Jazwinska, Tithi Chattopadhyay

CoRR, 2021

The Tension Between Information Justice and Security: Perceptions of Facial Recognition Targeting.

Elizabeth Anne Watkins

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts.

Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

"This Seems to Work": Designing Technological Systems with The Algorithmic Imaginations of Those Who Labor.

Lindsey Cameron, Angèle Christin, Michael Ann DeVito, Tawanna R. Dillahunt, Madeleine Clare Elish, Mary L. Gray, Rida Qadri, Noopur Raval, Melissa A. Valentine, Elizabeth Anne Watkins

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Governing Algorithmic Systems with Impact Assessments: Six Observations.

Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish

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

2020

Took a Pic and Got Declined, Vexed and Perplexed: Facial Recognition in Algorithmic Management.

Elizabeth Anne Watkins

Proceedings of the Companion Publication of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2020

2019

Entanglements and Exploits: Sociotechnical Security as an Analytic Framework.

Matt Goerzen, Elizabeth Anne Watkins, Gabrielle Lim

Proceedings of the 9th USENIX Workshop on Free and Open Communications on the Internet, 2019

2018

Sensemaking in a Senseless World: 2018 Workshop Abstract.

Daniel M. Russell, Gregorio Convertino, Aniket Kittur, Peter Pirolli, Elizabeth Anne Watkins

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Would You Slack That?: The Impact of Security and Privacy on Cooperative Newsroom Work.

Susan E. McGregor, Elizabeth Anne Watkins, Kelly Caine

Proc. ACM Hum. Comput. Interact., 2017

Creative and Set in Their Ways: Challenges of Security Sensemaking in Newsrooms.

Elizabeth Anne Watkins, Mahdi Nasrullah Al-Ameen, Franziska Roesner, Kelly Caine, Susan E. McGregor

Proceedings of the 7th USENIX Workshop on Free and Open Communications on the Internet, 2017

When the Weakest Link is Strong: Secure Collaboration in the Case of the Panama Papers.

Susan E. McGregor, Elizabeth Anne Watkins, Mahdi Nasrullah Al-Ameen, Kelly Caine, Franziska Roesner

Proceedings of the 26th USENIX Security Symposium, 2017

2016

Sensemaking and Storytelling: Network Security Strategies for Collaborative Groups.

Elizabeth Anne Watkins, Franziska Roesner, Susan E. McGregor, Byron Lowens, Kelly Caine, Mahdi Nasrullah Al-Ameen

Proceedings of the 2016 International Conference on Collaboration Technologies and Systems, 2016