Andrew Smart

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 29

Top Topics

Statistical Analyses

Decision Making

Software Engineering

Top Venues

Publications

Borhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart
Unsocial Intelligence: a Pluralistic, Democratic, and Participatory Investigation of AGI Discourse. CoRR (2024)
Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin Van Liemt, Sonja Schmer-Galunder
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation. CoRR (2024)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. AIES (2023)
Sanna J. Ali, Angèle Christin, Andrew Smart, Riitta Katila
Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs. CoRR (2023)
Jamila Smith-Loud, Andrew Smart, Darlene Neal, Amber Ebinama, Eric Corbett, Paul Nicholas, Qazi Rashid, Anne Peckham, Sarah Murphy-Gray, Nicole Morris, Elisha Smith Arrillaga, Nicole-Marie Cotton, Emnet Almedom, Olivia Araiza, Eliza McCullough, Abbie Langston, Christopher Nellum
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development. CoRR (2023)
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. AIES (2023)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. CHI (2023)
Noam Benkler, Drisana Mosaphir, Scott Friedman, Andrew Smart, Sonja Schmer-Galunder
Assessing LLMs for Moral Value Pluralism. CoRR (2023)
Sanna J. Ali, Angèle Christin, Andrew Smart, Riitta Katila
Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs. FAccT (2023)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. CoRR (2023)
Xuan Yang, Andrew Smart, Daniel Theron
Statistical Methods for Auditing the Quality of Manual Content Reviews. Tiny Papers @ ICLR (2023)
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR (2022)
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine Heller
Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT (2022)
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk
Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction. CoRR (2022)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar Jatho, Joshua Kroll, AJung Moon, Negar Rostamzadeh
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML. CoRR (2022)
Atoosa Kasirzadeh, Andrew Smart
The Use and Misuse of Counterfactuals in Ethical Machine Learning. CoRR (2021)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. FAccT (2021)
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole
On the genealogy of machine learning datasets: A critical history of ImageNet. Big Data Soc. 8 (2) (2021)
Atoosa Kasirzadeh, Andrew Smart
The Use and Misuse of Counterfactuals in Ethical Machine Learning. FAccT (2021)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. CoRR (2020)
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. CoRR (2020)
Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context. CoRR (2020)
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. CoRR (2020)
Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives. CoRR (2020)
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. FAT* (2020)
Andrew Smart, Larry James, Ben Hutchinson, Simone Wu, Shannon Vallor
Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning. AIES (2020)
Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics. CoRR (2020)
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
Towards a critical race methodology in algorithmic fairness. FAT* (2020)
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
Towards a Critical Race Methodology in Algorithmic Fairness. CoRR (2019)
Paul J. Fortier, Andrew Smart
Web based E-Government Data Distribution. HICSS (2001)