Emanuel Moss

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Natural Language Processing

Social Practices

Monocular Video Sequences

Top Venues

Publications

Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology. CoRR (2024)
Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi
Materiality and Risk in the Age of Pervasive AI Sensors. CoRR (2024)
Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology. CHI (2024)
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 (2024)
Jacob Metcalf, Ranjit Singh, Emanuel Moss, Emnet Tafesse, Elizabeth Anne Watkins
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. FAccT (2023)
Emanuel Moss
Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society. Commun. ACM 66 (6) (2023)
Daniel A. Adler, Emily Tseng, Khatiya C. Moon, John Q. Young, John M. Kane, Emanuel Moss, David C. Mohr, Tanzeem Choudhury
Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
A. Feder Cooper, Emanuel Moss, Benjamin Laufer, Helen Nissenbaum
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. FAccT (2022)
Mona Sloane, Emanuel Moss, Rumman Chowdhury
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability. Patterns 3 (2) (2022)
A. Feder Cooper, Benjamin Laufer, Emanuel Moss, Helen Nissenbaum
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. CoRR (2022)
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 (2022)
Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano
Participation Is not a Design Fix for Machine Learning. EAAMO (2022)
Daniel A. Adler, Emily Tseng, Khatiya C. Moon, John Q. Young, John M. Kane, Emanuel Moss, David C. Mohr, Tanzeem Choudhury
Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Serena Oduro, Emanuel Moss, Jacob Metcalf
Obligations to assess: Recent trends in AI accountability regulations. Patterns 3 (11) (2022)
Emanuel Moss
The Objective Function: Science and Society in the Age of Machine Intelligence. CoRR (2022)
Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish
Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts. FAccT (2021)
Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish
Governing Algorithmic Systems with Impact Assessments: Six Observations. AIES (2021)
Mona Sloane, Emanuel Moss, Rumman Chowdhury
A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability. CoRR (2021)
Katie Shilton, Emanuel Moss, Sarah A. Gilbert, Matthew J. Bietz, Casey Fiesler, Jacob Metcalf, Jessica Vitak, Michael Zimmer
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research. Big Data Soc. 8 (2) (2021)
Emanuel Moss, Jacob Metcalf
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response. Patterns 1 (7) (2020)
Desmond Upton Patton, William R. Frey, Kyle A. McGregor, Fei-Tzin Lee, Kathleen R. McKeown, Emanuel Moss
Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing. AIES (2020)
Christine Kaeser-Chen, Elizabeth Dubois, Friederike Schuur, Emanuel Moss
Positionality-aware machine learning: translation tutorial. FAT* (2020)
Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano
Participation is not a Design Fix for Machine Learning. CoRR (2020)
Mona Sloane, Emanuel Moss
AI's social sciences deficit. Nat. Mach. Intell. 1 (8) (2019)