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 (CTS, 2016)

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 (USENIX Security Symposium, 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 (FOCI @ USENIX Security Symposium, 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)

Sensemaking in a Senseless World: 2018 Workshop Abstract. - Daniel M. Russell; Gregorio Convertino; Aniket Kittur; Peter Pirolli; Elizabeth Anne Watkins (CHI Extended Abstracts, 2018)

Entanglements and Exploits: Sociotechnical Security as an Analytic Framework. - Matt Goerzen; Elizabeth Anne Watkins; Gabrielle Lim (FOCI @ USENIX Security Symposium, 2019)

Took a Pic and Got Declined, Vexed and Perplexed: Facial Recognition in Algorithmic Management. - Elizabeth Anne Watkins (CSCW Companion, 2020)

Governing Algorithmic Systems with Impact Assessments: Six Observations. - Elizabeth Anne Watkins; Emanuel Moss; Jacob Metcalf; Ranjit Singh 001; Madeleine Clare Elish (AIES, 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 (CHI Extended Abstracts, 2021)

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts. - Jacob Metcalf; Emanuel Moss; Elizabeth Anne Watkins; Ranjit Singh 001; Madeleine Clare Elish (FAccT, 2021)

The Tension Between Information Justice and Security: Perceptions of Facial Recognition Targeting. - Elizabeth Anne Watkins (IUI Workshops, 2021)

Qualitative Analysis for Human Centered AI. - Orestis Papakyriakopoulos; Elizabeth Anne Watkins; Amy A. Winecoff; Klaudia Jazwinska; Tithi Chattopadhyay (CoRR, 2021)

The Polysemia of Recognition: Facial Recognition in Algorithmic Management. - Elizabeth Anne Watkins (2021)

Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups. - Amy A. Winecoff; Elizabeth Anne Watkins (AIES, 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 (CHI Extended Abstracts, 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)

A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation. - Jacob Metcalf; Emanuel Moss; Ranjit Singh 001; Emnet Tafese; Elizabeth Anne Watkins (CoRR, 2022)

"Have you learned your lesson?" Communities of practice under algorithmic competition. - Elizabeth Anne Watkins (New Media Soc., 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)

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 (CHI Extended Abstracts, 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 (CHI, 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 (FAccT, 2023)

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. - Jacob Metcalf; Ranjit Singh 001; Emanuel Moss; Emnet Tafesse; Elizabeth Anne Watkins (FAccT, 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 001; Giuseppe Raffa (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Face Work: A Human-Centered Investigation into Facial Verification in Gig Work. - Elizabeth Anne Watkins (Proc. ACM Hum. Comput. Interact., 2023)

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 (CHI Extended Abstracts, 2024)

The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairness. - Elizabeth Anne Watkins; Jiahao Chen 001 (FAccT, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 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 001; Saurav Sahay; Giuseppe Raffa; Lama Nachman (CoRR, 2024)

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 (CHI Extended Abstracts, 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, 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 001; Giuseppe Raffa (CoRR, 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, 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, 2025)