Comparing AI and human decision-making mechanisms in daily collaborative experiments
Summary: Artificial intelligence (AI) is trying to catch up with human beings in many aspects. In this track, the potential for replacing human decision-making with AI models, such as large language models (LLMs), has become a topic of considerable debate. To test the performance of AI in daily deci...
Saved in:
| Main Authors: | Linghao Wang, Zheyuan Jiang, Chenke Hu, Jun Zhao, Zheng Zhu, Xiqun Chen, Ziyi Wang, Tianming Liu, Guibing He, Yafeng Yin, Der-Horng Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225009721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
When Sense-Making Doesn't Make Sense: Dervin's Sense-Making Methodology Applied to the Question of Non-Māori Librarians in New Zealand Making Sense of Māori Knowledge
by: Kathryn Oxborrow Vambe
Published: (2025-05-01) -
Understanding mariners’ tsunami information needs and decision-making contexts: A post-event case study of the 2022 Tonga eruption and tsunami
by: Sara E. Harrison, et al.
Published: (2025-02-01) -
Trust and AI weight: human-AI collaboration in organizational management decision-making
by: Yanjun Wen, et al.
Published: (2025-06-01) -
Expert Techniques and Their Validation: Concepts and Criteria, Some Terminological Inconsistencies
by: Elena V. Ivanova
Published: (2021-11-01) -
Neutrosophy, Causal AI, and Web3: combo for complex decision-making
by: Florentin Smarandache, et al.
Published: (2025-05-01)