TY - GEN
T1 - Trustworthy and Responsible AI for Information and Knowledge Management System
AU - Chen, Huaming
AU - Zhuang, Jun
AU - Yao, Yu
AU - Jin, Wei
AU - Wang, Haohan
AU - Xie, Yong
AU - Chi, Chi Hung
AU - Choo, Kim Kwang Raymond
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/10/21
Y1 - 2024/10/21
N2 - The way research and business manage and utilize knowledge is undergoing a significant transformation, driven by Artificial Intelligence (AI). Deep learning and machine learning are emerging as powerful tools for optimizing knowledge management systems, leading to more informed and productive development. AI offers unique solutions for organizations struggling with information overload and inefficient knowledge transfer. These AI models can significantly improve data management and utilization. Imagine an AI-powered system that streamlines onboarding processes, provides precise answers to various queries, and even captures the valuable tacit knowledge (implicit skills and expertise) often residing within individuals. AI bridges the gap between explicit knowledge (easily documented information) and tacit knowledge, fostering a more comprehensive and accessible knowledge base. However, such AI systems solicit trustworthy and responsible approaches to mitigate potential misuse and malfunction. In this workshop, we aim to gather researchers and engineers from academia and industry to discuss the latest advances in trustworthy and responsible AI solutions for information and knowledge management systems.
AB - The way research and business manage and utilize knowledge is undergoing a significant transformation, driven by Artificial Intelligence (AI). Deep learning and machine learning are emerging as powerful tools for optimizing knowledge management systems, leading to more informed and productive development. AI offers unique solutions for organizations struggling with information overload and inefficient knowledge transfer. These AI models can significantly improve data management and utilization. Imagine an AI-powered system that streamlines onboarding processes, provides precise answers to various queries, and even captures the valuable tacit knowledge (implicit skills and expertise) often residing within individuals. AI bridges the gap between explicit knowledge (easily documented information) and tacit knowledge, fostering a more comprehensive and accessible knowledge base. However, such AI systems solicit trustworthy and responsible approaches to mitigate potential misuse and malfunction. In this workshop, we aim to gather researchers and engineers from academia and industry to discuss the latest advances in trustworthy and responsible AI solutions for information and knowledge management systems.
KW - information retrieval
KW - knowledge management
KW - trustworthy AI
UR - http://www.scopus.com/inward/record.url?scp=85210041133&partnerID=8YFLogxK
U2 - 10.1145/3627673.3680111
DO - 10.1145/3627673.3680111
M3 - Conference contribution
AN - SCOPUS:85210041133
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 5574
EP - 5576
BT - CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
T2 - 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024
Y2 - 21 October 2024 through 25 October 2024
ER -