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Councils of AIs: A Multi-Agent Approach to Strategic Decision Support with Large Language Models
This research project develops an innovative approach to decision-making assistance by leveraging teams of AI-based agents, known as “councils of AIs”. These councils utilize large language models to collaboratively provide strategic advice and support for complex managerial decisions. The project aims to significantly improve the quality and effectiveness of strategic decision-making processes within organizations. The research will advance our understanding of effective human-AI collaboration, potentially leading to improved decision-making practices across various industries and public sectors, ultimately benefiting the broader community.
Faculty Supervisor:
Mohammad Keyhani
Student:
Partner:
Deakin University
Discipline:
Sociology
Sector:
Education
University:
University of Calgary
Program:
Globalink Research Award
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.