Emanuel Moss

32 papers A* 1C 2Journal 22Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
ACE, Action and Control via Explanations: A Proposal for LLMs to Provide Human-Centered Explainability for Multimodal AI Assistants.
CoRR
Elizabeth Anne Watkins, Emanuel Moss, Ramesh Manuvinakurike, Meng Shi, Richard Beckwith, Giuseppe Raffa
2025 J jnl
Controlling Context: Generative AI at Work in Integrated Circuit Design and Other High-Precision Domains.
CoRR
Emanuel Moss, Elizabeth Anne Watkins, Christopher Persaud, Passant Karunaratne, Dawn Nafus
2025 J jnl
Materiality and risk in the age of pervasive AI sensors.
Nat. Mac. Intell.
Mona Sloane, Emanuel Moss, Susan Kennedy, Matthew Stewart, Pete Warden, Brian Plancher, Vijay Janapa Reddi
2025 J jnl
Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines.
CoRR
Ramesh Manuvinakurike, Emanuel Moss, Elizabeth Anne Watkins, Saurav Sahay, Giuseppe Raffa, Lama Nachman
2025 J jnl
What's So Human about Human-AI Collaboration, Anyway? Generative AI and Human-Computer Interaction.
CoRR
Elizabeth Anne Watkins, Emanuel Moss, Giuseppe Raffa, Lama Nachman
2024 J jnl
Introducing v0.5 of the AI Safety Benchmark from MLCommons.
CoRR
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt 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
2024 J jnl
Materiality and Risk in the Age of Pervasive AI Sensors.
CoRR
Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi
2024 — conf
Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action.
CSCW Companion
Tina M. Park, Adriana Alvarado Garcia, Juana Catalina Becerra Sandoval, Jiyoo Chang, Bill Curtis-Davidson, Remi Denton, Seeta Peña Gangadharan, Lara Groves, Jerremy Holland, Kenneth Holstein, Tamara Kneese, Jacob Metcalf, Emanuel Moss, Wilneida Negrón, Afsaneh Rigot, Lauren Wilcox
2024 J jnl
Tackling AI Hyping.
AI Ethics
Mona Sloane, David Danks, Emanuel Moss
2024 A* conf
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology.
CHI
Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane
2024 J jnl
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology.
CoRR
Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane
2023 — conf
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability.
FAccT
Jacob Metcalf, Ranjit Singh, Emanuel Moss, Emnet Tafesse, Elizabeth Anne Watkins
2023 J jnl
Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society.
Commun. ACM
Emanuel Moss
2022 J jnl
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability.
Patterns
Mona Sloane, Emanuel Moss, Rumman Chowdhury
2022 J jnl
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation.
CoRR
Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafese, Elizabeth Anne Watkins
2022 — conf
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning.
FAccT
A. Feder Cooper, Emanuel Moss, Benjamin Laufer, Helen Nissenbaum
2022 J jnl
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning.
CoRR
A. Feder Cooper, Benjamin Laufer, Emanuel Moss, Helen Nissenbaum
2022 J jnl
Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians.
Proc. ACM Hum. Comput. Interact.
Daniel A. Adler, Emily Tseng, Khatiya C. Moon, John Q. Young, John M. Kane, Emanuel Moss, David C. Mohr, Tanzeem Choudhury
2022 J jnl
Obligations to assess: Recent trends in AI accountability regulations.
Patterns
Serena Oduro, Emanuel Moss, Jacob Metcalf
2022 — conf
Participation Is not a Design Fix for Machine Learning.
EAAMO
Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano
2022 J jnl
The Objective Function: Science and Society in the Age of Machine Intelligence.
CoRR
Emanuel Moss
2021 J jnl
A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability.
CoRR
Mona Sloane, Emanuel Moss, Rumman Chowdhury
2021 — conf
Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts.
FAccT
Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish
2021 J jnl
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research.
Big Data Soc.
Katie Shilton, Emanuel Moss, Sarah A. Gilbert, Matthew J. Bietz, Casey Fiesler, Jacob Metcalf, Jessica Vitak, Michael Zimmer
2021 C conf
Governing Algorithmic Systems with Impact Assessments: Six Observations.
AIES
Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish
2021 — —
The Objective Function: Science and Society in the Age of Machine Intelligence.
Emanuel Moss
2020 J jnl
AI reflections in 2019.
Nat. Mach. Intell.
Alexander S. Rich, Cynthia Rudin, David M. P. Jacoby, Robin Freeman, Oliver R. Wearn, Henry Shevlin, Kanta Dihal, Seán S. ÓhÉigeartaigh, James Butcher, Marco Lippi, Przemyslaw Palka, Paolo Torroni, Shannon Wongvibulsin, Edmon Begoli, Gisbert Schneider, Stephen Cave, Mona Sloane, Emanuel Moss, Iyad Rahwan, Ken Goldberg, David Howard, Luciano Floridi, Jack Stilgoe
2020 C conf
Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing.
AIES
Desmond Upton Patton, William R. Frey, Kyle A. McGregor, Fei-Tzin Lee, Kathleen R. McKeown, Emanuel Moss
2020 J jnl
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response.
Patterns
Emanuel Moss, Jacob Metcalf
2020 J jnl
Participation is not a Design Fix for Machine Learning.
CoRR
Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano
2020 — conf
Positionality-aware machine learning: translation tutorial.
FAT*
Christine Kaeser-Chen, Elizabeth Dubois, Friederike Schuur, Emanuel Moss
2019 J jnl
AI's social sciences deficit.
Nat. Mach. Intell.
Mona Sloane, Emanuel Moss