Use of activity theory-based need finding for biomedical device development. - Shalaleh Rismani; Matt Ratto; H. F. Machiel Van der Loos (EMBC, 2016)

Roboethics as a Design Challenge: Lessons Learned from the Roboethics to Design and Development Competition. - Jimin Rhim; Cheng Lin; Alexander Werner; Brandon J. DeHart; Vivian Qiang; Shalaleh Rismani; AJung Moon (ICRA, 2022)

What does it mean to be an AI Ethicist: An ontology of existing roles. - Shalaleh Rismani; AJung Moon (CoRR, 2022)

Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction. - Renee Shelby; Shalaleh Rismani; Kathryn Henne; AJung Moon; Negar Rostamzadeh; Paul Nicholas; N'Mah Yilla; Jess Gallegos; Andrew Smart; Emilio Garcia; Gurleen Virk (CoRR, 2022)

System Safety Engineering for Social and Ethical ML Risks: A Case Study. - Edgar W. Jatho III; Logan O. Mailloux; Shalaleh Rismani; Eugene D. Williams; Joshua A. Kroll (CoRR, 2022)

What does it mean to be a responsible AI practitioner: An ontology of roles and skills. - Shalaleh Rismani; AJung Moon (AIES, 2023)

Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. - Shalaleh Rismani; Renee Shelby; Andrew Smart; Renelito Delos Santos; AJung Moon; Negar Rostamzadeh (AIES, 2023)

Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. - Renee Shelby; Shalaleh Rismani; Kathryn Henne; AJung Moon; Negar Rostamzadeh; Paul Nicholas; N'Mah Yilla-Akbari; Jess Gallegos; Andrew Smart; Emilio García; Gurleen Virk (AIES, 2023)

From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. - Shalaleh Rismani; Renee Shelby; Andrew Smart; Edgar W. Jatho III; Joshua A. Kroll; AJung Moon; Negar Rostamzadeh (CHI, 2023)

Harms from Increasingly Agentic Algorithmic Systems. - Alan Chan; Rebecca Salganik; Alva Markelius; Chris Pang; Nitarshan Rajkumar; Dmitrii Krasheninnikov; Lauro Langosco; Zhonghao He; Yawen Duan; Micah Carroll; Michelle P. Lin; Alex Mayhew; et al. (FAccT, 2023)

Driving into the Loop: Mapping Automation Bias and Liability Issues for Advanced Driver Assistance Systems. - Katie Szilagyi; Jason Millar; AJung Moon; Shalaleh Rismani (Digit. Soc., 2023)

Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. - Renee Shelby; Shalaleh Rismani; Negar Rostamzadeh (CHI, 2024)

"What is Safety?": Building Bridges Across Approaches to Digital Risks and Harms. - Ashley Marie Walker; Michael Ann DeVito; Karla Badillo-Urquiola; Rosanna Bellini; Stevie Chancellor; Jessica L. Feuston; Kathryn Henne; Patrick Gage Kelley; Shalaleh Rismani; Renee Shelby; Renwen Zhang (CSCW Companion, 2024)

From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems. - Shalaleh Rismani; Roel Dobbe; AJung Moon (CoRR, 2024)