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2020 – today
- 2024
[j7]Mona Sloane
, David Danks, Emanuel Moss:
Tackling AI Hyping. AI Ethics 4(3): 669-677 (2024)- [j6]Mona Sloane:
Controversies, contradiction, and "participation" in AI. Big Data Soc. 11(1) (2024) - [c6]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: 768:1-768:23 - [c5]Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane:
Careless Whisper: Speech-to-Text Hallucination Harms. FAccT 2024: 1672-1681 - [i7]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 abs/2401.10877 (2024) - [i6]Allison Koenecke, Anna Seo Gyeong Choi, Katelyn Mei, Hilke Schellmann, Mona Sloane:
Careless Whisper: Speech-to-Text Hallucination Harms. CoRR abs/2402.08021 (2024) - [i5]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 abs/2402.11183 (2024) - 2023
- [j5]Mona Sloane, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich:
Introducing contextual transparency for automated decision systems. Nat. Mac. Intell. 5(3): 187-195 (2023) - 2022
- [j4]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): 2153-2193 (2022) - [j3]Mona Sloane, Emanuel Moss, Rumman Chowdhury:
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability. Patterns 3(2): 100425 (2022) - [c4]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: 572-587 - [c3]Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano:
Participation Is not a Design Fix for Machine Learning. EAAMO 2022: 1:1-1:6 - [c2]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: 935-947 - [i4]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 abs/2201.09151 (2022) - [i3]Mona Sloane, Janina Zakrzewski:
German AI Start-Ups and AI Ethics: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation. CoRR abs/2206.09978 (2022) - 2021
- [c1]Ahmed Ansari, Anna Lauren Hoffmann, Seda F. Gürses, Mona Sloane, Mark A. Vasquez, Zach Pearl:
Technology, equity and social justice roundtable. ISTAS 2021: 1-2 - [i2]Mona Sloane, Emanuel Moss, Rumman Chowdhury:
A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability. CoRR abs/2106.12403 (2021) - 2020
- [j2]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:
AI reflections in 2019. Nat. Mach. Intell. 2(1): 2-9 (2020) - [i1]Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano:
Participation is not a Design Fix for Machine Learning. CoRR abs/2007.02423 (2020)
2010 – 2019
- 2019
- [j1]Mona Sloane, Emanuel Moss:
AI's social sciences deficit. Nat. Mach. Intell. 1(8): 330-331 (2019)
Coauthor Index
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