International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Technological crises refer to critical events—system failures and collapses, cybersecurity and data breaches, software meltdowns, critical infrastructure disruptions, etc.,—in which the failure, malfunction, or disruption of technological systems creates significant risk to safety, operations, or the environment. These crises typically arise unexpectedly and require rapid, well-informed decision-making under conditions of uncertainty, time pressure, and missing or incomplete information, to prevent escalation. Artificial intelligence (AI) systems have emerged as powerful tools capable of augmenting human judgment in these contexts. This article examines the role of AI in supporting human decision-making during technological crises, analyzing its capabilities, limitations, and implications for organizational resilience. It emphasized that AI is most effective when used as a collaborative partner rather than a replacement for human expertise, and it outlines design principles for trustworthy, human-centered AI systems.