Towards Effective Human-AI Collaboration in Decision-Making: A Comprehensive Review and Conceptual Framework
Daniel Amori Molina, Vladimir Kharlov, Ja‐Shen Chen
Abstract
This ongoing-study explores the symbiotic relationship between humans and Artificial Intelligence (AI) within organizational settings, challenging the conventional perception of AI as a mere tool and establishing it as an integral component of the workforce. The research seeks to address the question: “In what ways does the collaborative interaction between humans and AI influence specific dimensions within organizations?”. Drawing from the Extended Mind Theory, which suggests that cognitive processes can extend beyond the human mind into objects and environments (including AI), the study explores diverse applications of AI in business contexts. From data analysis and decision-making to customer service, marketing, risk management, and product development, the research analyzes the multifaceted impacts of AI integration. This also encompasses the potential challenges and considerations associated with their implementation across various domains. This research aims to redefine the perception of AI and its “new” role in organizations, providing valuable insights for decision-makers adapting to the changing AI integration.