TY - GEN
T1 - Towards Responsible Use of Large Multi-modal AI to Analyze Human Social Behaviors
AU - Zheng, Qingxiao
AU - Lu, Xi
AU - Jin, Qiao
AU - Jain, Jitesh
AU - Meadan-Kaplansky, Hedda
AU - Shi, Humphrey
AU - Xiong, Jinjun
AU - Huang, Yun
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/11/13
Y1 - 2024/11/13
N2 - This SIG is primarily designed for researchers and practitioners interested in exploring the utilization of multimodal artificial intelligence (AI) to understand and analyze human behaviors across various domains. It will particularly benefit professionals in UX design and research, cognitive science, education, psychology, and data science who are pursuing innovative ways to integrate multimodal data with AI to gain deeper behavioral insights. The session will focus on using AI to track, visualize, and generate insights around both verbal and non-verbal social interactions for various purposes, such as video question-answering. Discussions will cover practical applications in settings such as online learning environments, telecommunication, and social media platforms. This SIG will also provoke reflection on the ethical stewardship of AI, highlighting the importance of responsible usage to mitigate concerns such as algorithmic bias and data privacy.
AB - This SIG is primarily designed for researchers and practitioners interested in exploring the utilization of multimodal artificial intelligence (AI) to understand and analyze human behaviors across various domains. It will particularly benefit professionals in UX design and research, cognitive science, education, psychology, and data science who are pursuing innovative ways to integrate multimodal data with AI to gain deeper behavioral insights. The session will focus on using AI to track, visualize, and generate insights around both verbal and non-verbal social interactions for various purposes, such as video question-answering. Discussions will cover practical applications in settings such as online learning environments, telecommunication, and social media platforms. This SIG will also provoke reflection on the ethical stewardship of AI, highlighting the importance of responsible usage to mitigate concerns such as algorithmic bias and data privacy.
KW - ai
KW - generative ai
KW - human social behaviors
KW - large multimodal models (lmms)
KW - video analysis
UR - https://www.scopus.com/pages/publications/85214559214
U2 - 10.1145/3678884.3687137
DO - 10.1145/3678884.3687137
M3 - Conference contribution
AN - SCOPUS:85214559214
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 663
EP - 665
BT - CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing
A2 - Bernstein, Michael
A2 - Bruckman, Amy
A2 - Gadiraju, Ujwal
A2 - Halfaker, Aaron
A2 - Ma, Xiaojuan
A2 - Pinatti, Fabiano
A2 - Redi, Miriam
A2 - Ribes, David
A2 - Savage, Saiph
A2 - Zhang, Amy
PB - Association for Computing Machinery
T2 - 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024
Y2 - 9 November 2024 through 13 November 2024
ER -