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Publication search results
found 62 matches
- 2024
- Renee Shelby, Ramya Srinivasan, Katharina Burgdorf, Jennifer Lena, Negar Rostamzadeh:
Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-30 (2024) - Renee Shelby, Shalaleh Rismani, Negar Rostamzadeh:
Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. CHI 2024: 32:1-32:17 - Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. ICML 2024 - Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller:
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR abs/2403.03357 (2024) - Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR abs/2406.01757 (2024) - 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. AIES 2023: 70-83 - 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: 723-741 - 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: 2:1-2:18 - 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 abs/2307.10312 (2023) - Atieh Taheri, Mohammad Izadi, Gururaj Shriram, Negar Rostamzadeh, Shaun Kane:
Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface. CoRR abs/2309.02402 (2023) - 2022
- Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL 2022: 375-396 - Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. FAccT 2022: 1859-1876 - 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. FAccT 2022: 1943-1961 - 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 abs/2202.13028 (2022) - Lindiwe Brigitte Malobola, Negar Rostamzadeh, Shakir Mohamed:
se-Shweshwe Inspired Fashion Generation. CoRR abs/2203.00435 (2022) - Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR abs/2204.03969 (2022) - Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. CoRR abs/2205.05256 (2022) - Katharina Burgdorf, Negar Rostamzadeh, Ramya Srinivasan, Jennifer Lena:
Looking at Creative ML Blindspots with a Sociological Lens. CoRR abs/2205.13683 (2022) - Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti:
Inducing bias is simpler than you think. CoRR abs/2205.15935 (2022) - 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. CoRR abs/2210.03535 (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 abs/2210.05791 (2022) - Christian Detweiler, Beth Coleman, Fernando Diaz, Lieke Dom, Chris Donahue, Jesse H. Engel, Cheng-Zhi Anna Huang, Larry James, Ethan Manilow, Amanda McCroskery, Kyle Pedersen, Pamela Peter-Agbia, Negar Rostamzadeh, Robert Thomas, Marco Zamarato, Ben Zevenbergen:
Redefining Relationships in Music. CoRR abs/2212.08038 (2022) - 2021
- Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. MLHC 2021: 674-708 - Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman:
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks 2021 - Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. CoRR abs/2101.06536 (2021) - Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran:
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR abs/2112.03057 (2021) - Negar Rostamzadeh, Emily Denton, Linda Petrini:
Ethics and Creativity in Computer Vision. CoRR abs/2112.03111 (2021) - 2020
- Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops 2020: 3989-3993 - Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Proposal-Based Instance Segmentation With Point Supervision. ICIP 2020: 2126-2130
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