Andrew Smart

42 papers A* 2C 3Journal 26Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach.
CoRR
Erin van Liemt, Renee Shelby, Andrew Smart, Sinchana Kumbale, Richard Zhang, Neha Dixit, Qazi Mamunur Rashid, Jamila Smith-Loud
2026 A* conf
How Tech Workers Contend with Hazards of Humanlikeness in Generative AI.
CHI
Mark Diaz, Renee Shelby, Eric Corbett, Andrew Smart
2026 J jnl
Self-Explaining Hate Speech Detection with Moral Rationales.
CoRR
Francielle Vargas, Jackson Trager, Diego Alves, Surendrabikram Thapa, Matteo Guida, Berk Atil, Daryna Dementieva, Andrew Smart, Ameeta Agrawal
2025 J jnl
Beyond model interpretability: socio-structural explanations in machine learning.
AI Soc.
Andrew Smart, Atoosa Kasirzadeh
2025 J jnl
How Tech Workers Contend with Hazards of Humanlikeness in Generative AI.
CoRR
Mark Díaz, Renee Shelby, Eric Corbett, Andrew Smart
2025 — conf
Lost in Machine Translation: The Sociocultural Implications of Language Technologies in Nigeria.
FAccT
Seyi Olojo, Janina Zakrzewski, Andrew Smart, Erin van Liemt, Milagros Miceli, Amber Ebinama, Lameck Mbangula Amugongo
2025 — conf
Position: Stop treating 'AGI' as the north-star goal of AI research.
ICML (Position Papers)
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2025 J jnl
Stop treating 'AGI' as the north-star goal of AI research.
CoRR
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2024 J jnl
Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning.
CoRR
Andrew Smart, Atoosa Kasirzadeh
2024 J jnl
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation.
CoRR
Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin van Liemt, Sonja Schmer-Galunder
2024 J jnl
Socially Responsible Data for Large Multilingual Language Models.
CoRR
Andrew Smart, Ben Hutchinson, Lameck Mbangula Amugongo, Suzanne Dikker, Alex Zito, Amber Ebinama, Zara Wudiri, Ding Wang, Erin van Liemt, João Sedoc, Seyi Olojo, Stanley Uwakwe, Edem Wornyo, Sonja Schmer-Galunder, Jamila Smith-Loud
2024 J jnl
The reanimation of pseudoscience in machine learning and its ethical repercussions.
Patterns
Mel Andrews, Andrew Smart, Abeba Birhane
2024 — conf
Unsocial Intelligence: An Investigation of the Assumptions of AGI Discourse.
AIES (1)
Borhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart
2024 J jnl
Unsocial Intelligence: a Pluralistic, Democratic, and Participatory Investigation of AGI Discourse.
CoRR
Borhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart
2023 J jnl
Assessing LLMs for Moral Value Pluralism.
CoRR
Noam Benkler, Drisana Mosaphir, Scott Friedman, Andrew Smart, Sonja Schmer-Galunder
2023 C conf
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development.
AIES
Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
2023 J jnl
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development.
CoRR
Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
2023 A* conf
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML.
CHI
Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh
2023 C conf
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction.
AIES
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk
2023 — conf
Statistical Methods for Auditing the Quality of Manual Content Reviews.
Tiny Papers @ ICLR
Xuan Yang, Andrew Smart, Daniel Theron
2023 J jnl
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development.
CoRR
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
2023 — conf
Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs.
FAccT
Sanna J. Ali, Angèle Christin, Andrew Smart, Riitta Katila
2023 J jnl
Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs.
CoRR
Sanna J. Ali, Angèle Christin, Andrew Smart, Riitta Katila
2022 J jnl
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML.
CoRR
Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh
2022 — conf
Healthsheet: Development of a Transparency Artifact for Health Datasets.
FAccT
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022 J jnl
Healthsheet: Development of a Transparency Artifact for Health Datasets.
CoRR
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022 J jnl
Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction.
CoRR
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk
2021 J jnl
On the genealogy of machine learning datasets: A critical history of ImageNet.
Big Data Soc.
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole
2021 — conf
The Use and Misuse of Counterfactuals in Ethical Machine Learning.
FAccT
Atoosa Kasirzadeh, Andrew Smart
2021 J jnl
The Use and Misuse of Counterfactuals in Ethical Machine Learning.
CoRR
Atoosa Kasirzadeh, Andrew Smart
2021 — conf
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.
FAccT
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
2020 J jnl
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets.
CoRR
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman
2020 J jnl
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing.
CoRR
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
2020 — conf
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.
FAT*
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
2020 J jnl
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context.
CoRR
Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac
2020 J jnl
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives.
CoRR
Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi
2020 J jnl
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics.
CoRR
Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac
2020 J jnl
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.
CoRR
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
2020 — conf
Towards a critical race methodology in algorithmic fairness.
FAT*
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
2020 C conf
Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning.
AIES
Andrew Smart, Larry James, Ben Hutchinson, Simone Wu, Shannon Vallor
2019 J jnl
Towards a Critical Race Methodology in Algorithmic Fairness.
CoRR
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
2001 — conf
Web based E-Government Data Distribution.
HICSS
Paul J. Fortier, Andrew Smart