Mona Sloane

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Social Practices

Artificially Intelligent

Top Venues

Nat. Mach. Intell.

Publications

Mona Sloane
Controversies, contradiction, and "participation" in AI. Big Data Soc. 11 (1) (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. 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)
Allison Koenecke, Anna Seo Gyeong Choi, Katelyn Mei, Hilke Schellmann, Mona Sloane
Careless Whisper: Speech-to-Text Hallucination Harms. 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)
Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane
Careless Whisper: Speech-to-Text Hallucination Harms. FAccT (2024)
Mona Sloane, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich
Introducing contextual transparency for automated decision systems. Nat. Mac. Intell. 5 (3) (2023)
Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Julia Stoyanovich
Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit. AIES (2022)
Mona Sloane, Janina Zakrzewski
German AI Start-Ups and AI Ethics: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation. CoRR (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)
Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Julia Stoyanovich
External Stability Auditing to Test the Validity of Personality Prediction in AI Hiring. CoRR (2022)
Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano
Participation Is not a Design Fix for Machine Learning. EAAMO (2022)
Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Falaah Arif Khan, Julia Stoyanovich
An external stability audit framework to test the validity of personality prediction in AI hiring. Data Min. Knowl. Discov. 36 (6) (2022)
Mona Sloane, Janina Zakrzewski
German AI Start-Ups and "AI Ethics": Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation. FAccT (2022)
Ahmed Ansari, Anna Lauren Hoffmann, Seda F. Gürses, Mona Sloane, Mark A. Vasquez, Zach Pearl
Technology, equity and social justice roundtable. ISTAS (2021)
Mona Sloane, Emanuel Moss, Rumman Chowdhury
A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability. CoRR (2021)
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, Emmanuel Moss, Iyad Rahwan, Ken Goldberg, David Howard, Luciano Floridi, Jack Stilgoe
AI reflections in 2019. Nat. Mach. Intell. 2 (1) (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)