Abstract
The article highlights an innovative approach to risk management in software projects using generative artificial intelligence. It describes a methodology that involves the use of publicly available chatbots to identify, analyze, and prioritize risks. The Crawford method is used as a basis for risk identification. The authors propose specific formulations of requests to chatbots (instructs, prompts) that facilitate obtaining the necessary information. The effectiveness of the methodology has been demonstrated on five small software projects and a dozen of economic and organizational projects of significantly different scales, from small to federal. This confirms its applicability and practical value.
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