Jessie J. Smith

16 papers A* 1A 4Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Pragmatic Fairness: Evaluating ML Fairness Within the Constraints of Industry. FAccT Jessie J. Smith, Michael Madaio, Robin Burke, Casey Fiesler
2025	J	`jnl`	The Generative AI Ethics Playbook. CoRR Jessie J. Smith, Wesley Hanwen Deng, William H. Smith, Maarten Sap, Nicole DeCario, Jesse Dodge
2024	—	`conf`	Recommend Me? Designing Fairness Metrics with Providers. FAccT Jessie J. Smith, Aishwarya Satwani, Robin Burke, Casey Fiesler
2023	—	`conf`	Incorporating Ethics in Computing Courses: Barriers, Support, and Perspectives from Educators. SIGCSE (1) Jessie J. Smith, Blakeley H. Payne, Shamika Klassen, Dylan Thomas Doyle, Casey Fiesler
2023	A*	`conf`	Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective. WWW Jessie J. Smith, Lex Beattie, Henriette Cramer
2023	—	`conf`	The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation. FAccT Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman, Nicholas Mattei, Robin Burke, Amy Voida
2022	A	`conf`	Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems. RecSys Jessie J. Smith
2022	J	`jnl`	Incorporating Ethics in Computing Courses: Perspectives from Educators. CoRR Jessie J. Smith, Blakeley H. Payne, Shamika Klassen, Dylan Thomas Doyle, Casey Fiesler
2022	—	`conf`	REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. FAccT Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan
2022	J	`jnl`	REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. CoRR Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan
2022	J	`jnl`	RecSys Fairness Metrics: Many to Use But Which One To Choose? CoRR Jessie J. Smith, Lex Beattie
2022	A	`conf`	Recommender Systems and Algorithmic Hate. RecSys Jessie J. Smith, Lucia Jayne, Robin Burke
2022	J	`jnl`	Recommender Systems and Algorithmic Hate. CoRR Jessie J. Smith, Lucia Jayne, Robin Burke
2021	A	`conf`	Fairness and Transparency in Recommendation: The Users' Perspective. UMAP Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler
2021	J	`jnl`	Fairness and Transparency in Recommendation: The Users' Perspective. CoRR Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler
2021	A	`conf`	Integrating Ethics into Introductory Programming Classes. SIGCSE Casey Fiesler, Mikhaila Friske, Natalie Garrett, Felix Muzny, Jessie J. Smith, Jason Zietz