Auto-generated Plans and Decisions as an Instrument of Crisis Management

Auto-generated plans and decisions are generated without human input. Machine learning algorithms or other automated decision-making systems develop them based on present criteria and rules. An automated system might create a reaction plan for a natural disaster or cyberattack. The system may assess historical occurrences, discover patterns and trends, and create a reaction plan based on specified parameters. An organisation may employ an automated decision-making technology to choose resources or actions in a crisis. The tool may evaluate data and make a judgement automatically using specified rules and criteria. In urgent circumstances, auto-generated strategies and choices may help. They may also help businesses react consistently to emergencies using objective criteria and data analysis, decreasing human error. This work aims to provide an overview of crisis management and the role of auto-generated plans and decisions in its deployment. The case study of one company is presented to illustrate the usage of auto-generated plans and decisions, taking care that they shouldn’t replace human decision-making. To be current and successful, they should be evaluated and updated often.