Kim, Sunnie
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2

Establishing Appropriate Trust in AI through Transparency a..:

, In: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems,
Kim, Sunnie S. Y. - p. 1-6 , 2024
 
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3

"I'm Not Sure, But...": Examining the Impact of Large Langu..:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,
 
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4

Human-Centered Explainable AI (HCXAI): Reloading Explainabi..:

, In: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems,
 
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5

"Help Me Help the AI": Understanding How Explainability Can..:

, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,
 
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6

Humans, AI, and Context: Understanding End-Users' Trust in ..:

, In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency,
 
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7

Overlooked Factors in Concept-Based Explanations: Dataset C..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Ramaswamy, Vikram V. ; Kim, Sunnie S. Y. ; Fong, Ruth. - p. 10932-10941 , 2023
 
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8

HIVE: Evaluating the Human Interpretability of Visual Expla..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
 
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9

Information-Theoretic Segmentation by Inpainting Error Maxi..:

, In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Savarese, Pedro ; Kim, Sunnie S. Y. ; Maire, Michael.. - p. 4028-4038 , 2021
 
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10

Deformable Style Transfer:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
 
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