RELIABILITY AND TRUSTWORTHINESS OF AI-DRIVEN INSIGHTS FOR MAKING STRATEGIC BUSINESS DECISIONS

Artificial Intelligence (AI) has become a foundation of tactical business decision making that complements the managerial functions of data-oriented smartness, risk management, and competition-driven adjustment. A sustainable value of AI relies on the dependability of AI models and the trust that changes in the recommendations of AI models will gain among managers. This study combines the researchers of diverse disciplines to assess reliability and trustworthiness of AI-driven insights in strategic contexts of decision-making. The paper examines the dynamic nature of managerial trust, highlighting asymmetrical trust trajectories characterized by initial algorithmic appreciation, rapid trust erosion following isolated AI errors (the