AI's social sciences deficit. - Mona Sloane; Emanuel Moss (Nat. Mach. Intell., 2019)

AI reflections in 2019. - 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 001; Przemyslaw Palka; Paolo Torroni; et al. (Nat. Mach. Intell., 2020)

Technology, equity and social justice roundtable. - Ahmed Ansari; Anna Lauren Hoffmann; Seda F. Gürses; Mona Sloane; Mark A. Vasquez; Zach Pearl (ISTAS, 2021)

Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit. - Alene K. Rhea; Kelsey Markey; Lauren D'Arinzo; Hilke Schellmann; Mona Sloane; Paul Squires; Julia Stoyanovich (AIES, 2022)

Participation Is not a Design Fix for Machine Learning. - Mona Sloane; Emanuel Moss; Olaitan Awomolo; Laura Forlano 001 (EAAMO, 2022)

German AI Start-Ups and "AI Ethics": Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation. - Mona Sloane; Janina Zakrzewski (FAccT, 2022)

External Stability Auditing to Test the Validity of Personality Prediction in AI Hiring. - Alene K. Rhea; Kelsey Markey; Lauren D'Arinzo; Hilke Schellmann; Mona Sloane; Paul Squires; Julia Stoyanovich (CoRR, 2022)

An external stability audit framework to test the validity of personality prediction in AI hiring. - Alene K. Rhea; Kelsey Markey; Lauren D'Arinzo; Hilke Schellmann; Mona Sloane; Paul Squires; Falaah Arif Khan; Julia Stoyanovich (Data Min. Knowl. Discov., 2022)

A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability. - Mona Sloane; Emanuel Moss; Rumman Chowdhury (Patterns, 2022)

Introducing contextual transparency for automated decision systems. - Mona Sloane; Ian Solano-Kamaiko; Jun Yuan; Aritra Dasgupta 001; Julia Stoyanovich (Nat. Mac. Intell., 2023)

The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology. - Emma Harvey; Hauke Sandhaus; Abigail Z. Jacobs; Emanuel Moss; Mona Sloane (CHI, 2024)

Careless Whisper: Speech-to-Text Hallucination Harms. - Allison Koenecke; Anna Seo Gyeong Choi; Katelyn Xiaoying Mei; Hilke Schellmann; Mona Sloane (FAccT, 2024)

Controversies, contradiction, and "participation" in AI. - Mona Sloane (Big Data Soc., 2024)

Tackling AI Hyping. - Mona Sloane; David Danks; Emanuel Moss (AI Ethics, 2024)

Materiality and risk in the age of pervasive AI sensors. - Mona Sloane; Emanuel Moss; Susan Kennedy; Matthew Stewart; Pete Warden; Brian Plancher; Vijay Janapa Reddi (Nat. Mac. Intell., 2025)

Boolean Clashes: Discretionary Decision Making in AI-Driven Recruiting. - Mona Sloane (Commun. ACM, 2025)

Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia. - Katelyn Xiaoying Mei; Anna Seo Gyeong Choi; Hilke Schellmann; Mona Sloane; Allison Koenecke (CoRR, 2025)