Designing for AI-Powered Social Computing Systems-Reference-Cited by-同舟云学术

Designing for AI-Powered Social Computing Systems

Published:2023-10-14 Issue: Volume: Page:
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Container-title:Computer Supported Cooperative Work and Social Computing
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Author:

Lim Gionnieve¹^ORCID,Kim Hyunwoo²^ORCID,Choi Yoonseo²^ORCID,Li Toby Jia-Jun³^ORCID,Kulkarni Chinmay⁴^ORCID,Subramonyam Hariharan⁵^ORCID,Seering Joseph⁶^ORCID,Bernstein Michael S.⁷^ORCID,Zhang Amy X.⁸^ORCID,Glassman Elena L.⁹^ORCID,Perrault Simon¹⁰^ORCID,Kim Juho²^ORCID

Affiliation:

1. School of Computing, KAIST, Republic of Korea and Singapore University of Technology and Design, Singapore

2. School of Computing, KAIST, Korea, Republic of

3. Department of Computer Science and Engineering, University of Notre Dame, United States

4. Computer Science Department, Emory University, United States

5. Stanford University, United States

6. Computer Science Department, Stanford University, United States

7. Computer Science, Stanford University, United States

8. CSE, University of Washington, United States

9. SEAS, Harvard University, United States

10. Singapore University of Technology and Design, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584931.3606951

Reference20 articles.

1. "All Rise for the AI Director"

2. Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic Platforms

3. Ziv Epstein , Nicolo Foppiani , Sophie Hilgard , Sanjana Sharma , Elena Glassman , and David Rand . 2022. Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?Proceedings of the International AAAI Conference on Web and Social Media 16, 1 (May 2022 ), 183–193. https://doi.org/10.1609/icwsm.v16i1.19283 10.1609/icwsm.v16i1.19283 Ziv Epstein, Nicolo Foppiani, Sophie Hilgard, Sanjana Sharma, Elena Glassman, and David Rand. 2022. Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?Proceedings of the International AAAI Conference on Web and Social Media 16, 1 (May 2022), 183–193. https://doi.org/10.1609/icwsm.v16i1.19283

4. Mind the Gap: Autonomous Systems, the Responsibility Gap, and Moral Entanglement

5. ModelLens: An Interactive System to Support the Model Improvement Practices of Data Science Teams