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ORCIDElizabeth Anne Watkins
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2020 – today
- 2024
[c18]Upol Ehsan
, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Sunnie S. Y. Kim, Niels van Berkel, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). CHI Extended Abstracts 2024: 477:1-477:6- [c17]Elizabeth Anne Watkins, Jiahao Chen:
The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairness. FAccT 2024: 764-775 - [i8]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 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:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - 2023
- [j4]Elizabeth Anne Watkins:
Face Work: A Human-Centered Investigation into Facial Verification in Gig Work. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-24 (2023) - [c16]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CHI 2023: 250:1-250:17 - [c15]Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts 2023: 353:1-353:7 - [c14]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. FAccT 2023: 77-88 - [c13]Jacob Metcalf, Ranjit Singh, Emanuel Moss, Emnet Tafesse, Elizabeth Anne Watkins:
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. FAccT 2023: 1450-1462 - [i7]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. CoRR abs/2305.08598 (2023) - 2022
- [j3]Elizabeth Anne Watkins:
"Have you learned your lesson?" Communities of practice under algorithmic competition. New Media Soc. 24(7): 1567-1590 (2022) - [j2]Sayash Kapoor, Matthew Sun, Mona Wang, Klaudia Jazwinska, Elizabeth Anne Watkins:
Weaving Privacy and Power: On the Privacy Practices of Labor Organizers in the U.S. Technology Industry. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-33 (2022) - [c12]Amy A. Winecoff, Elizabeth Anne Watkins:
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups. AIES 2022: 788-799 - [c11]Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. CHI Extended Abstracts 2022: 109:1-109:7 - [i6]Elizabeth Anne Watkins, Michael McKenna, Jiahao Chen:
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness. CoRR abs/2202.09519 (2022) - [i5]Amy A. Winecoff, Elizabeth Anne Watkins:
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups. CoRR abs/2203.01157 (2022) - [i4]Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafese, Elizabeth Anne Watkins:
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation. CoRR abs/2203.01455 (2022) - [i3]Sayash Kapoor, Matthew Sun, Mona Wang, Klaudia Jazwinska, Elizabeth Anne Watkins:
Weaving Privacy and Power: On the Privacy Practices of Labor Organizers in the U.S. Technology Industry. CoRR abs/2206.00035 (2022) - [i2]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CoRR abs/2210.03735 (2022) - 2021
- [b1]Elizabeth Anne Watkins:
The Polysemia of Recognition: Facial Recognition in Algorithmic Management. Columbia University, USA, 2021 - [c10]Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish:
Governing Algorithmic Systems with Impact Assessments: Six Observations. AIES 2021: 1010-1022 - [c9]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:
"This Seems to Work": Designing Technological Systems with The Algorithmic Imaginations of Those Who Labor. CHI Extended Abstracts 2021: 115:1-115:5 - [c8]Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish:
Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts. FAccT 2021: 735-746 - [c7]Elizabeth Anne Watkins:
The Tension Between Information Justice and Security: Perceptions of Facial Recognition Targeting. IUI Workshops 2021 - [i1]Orestis Papakyriakopoulos, Elizabeth Anne Watkins, Amy A. Winecoff, Klaudia Jazwinska, Tithi Chattopadhyay:
Qualitative Analysis for Human Centered AI. CoRR abs/2112.03784 (2021) - 2020
- [c6]Elizabeth Anne Watkins:
Took a Pic and Got Declined, Vexed and Perplexed: Facial Recognition in Algorithmic Management. CSCW Companion 2020: 177-182
2010 – 2019
- 2019
- [c5]Matt Goerzen, Elizabeth Anne Watkins, Gabrielle Lim:
Entanglements and Exploits: Sociotechnical Security as an Analytic Framework. FOCI @ USENIX Security Symposium 2019 - 2018
- [c4]Daniel M. Russell, Gregorio Convertino, Aniket Kittur, Peter Pirolli, Elizabeth Anne Watkins:
Sensemaking in a Senseless World: 2018 Workshop Abstract. CHI Extended Abstracts 2018 - 2017
- [j1]Susan E. McGregor, Elizabeth Anne Watkins, Kelly Caine:
Would You Slack That?: The Impact of Security and Privacy on Cooperative Newsroom Work. Proc. ACM Hum. Comput. Interact. 1(CSCW): 75:1-75:22 (2017) - [c3]Susan E. McGregor, Elizabeth Anne Watkins, Mahdi Nasrullah Al-Ameen, Kelly Caine, Franziska Roesner:
When the Weakest Link is Strong: Secure Collaboration in the Case of the Panama Papers. USENIX Security Symposium 2017: 505-522 - [c2]Elizabeth Anne Watkins, Mahdi Nasrullah Al-Ameen, Franziska Roesner, Kelly Caine, Susan E. McGregor:
Creative and Set in Their Ways: Challenges of Security Sensemaking in Newsrooms. FOCI @ USENIX Security Symposium 2017 - 2016
- [c1]Elizabeth Anne Watkins, Franziska Roesner, Susan E. McGregor, Byron Lowens, Kelly Caine, Mahdi Nasrullah Al-Ameen:
Sensemaking and Storytelling: Network Security Strategies for Collaborative Groups. CTS 2016: 622-623
Coauthor Index
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