## 2 State of Knowledge
### Project Risk Management
Based on the results, AI is expected to have a great impact on the field of project management and can be an effective tool in project planning. The main advantage of the techniques based on AI is that they make a clear distinction between the mechanism and the knowledge used to process the knowledge. This allows knowledge to be added independent of the project-solving strategy that is performed by the system, which makes them more flexible than network-based techniques. These techniques can handle uncertainty in identifying interrelations among various tasks in the project plan, while network-based techniques do not consider uncertainty among the tasks. They can also store and use heuristic knowledge about constraints and assist in generating detailed plans [11]. Other studies have been implemented where AI methods are used to forecast project duration [12], and AI is applied to predict cash flow trends in projects to obtain strategic control over them. This can augment project cost management [13]. Research indicates that AI will affect the work of project managers. They must learn to adapt to the changes to be able to keep up with the changing future of their occupation as a project manager. A review essay by [PERSON] and [PERSON] utilized three recent books about AI as a starting point and explored the automation and augmentation concepts in the management domain. Automation means that a machine takes over a human task, while augmentation implies that humans and machines collaborate to perform or solve a particular task. According to the three books, organizations are advised to prioritize augmentation rather than automation. Managerial tasks can be complex where rules or modules are not fully known. Therefore, the use of automation only can be difficult, but managers could use an augmentation approach to obtain a deeper understanding of the problem. This involves the managers, and they are forced to collaborate with the machines on certain tasks. They use their expertise to monitor and evaluate the machine's outcome, which also allows them to carry out other valuable tasks. By initially using an augmentation approach to a complex task, organizations aim to increase the level of automation by replacing time-consuming human tasks with automated processes. This interaction between AI technology and managers helps them to increase their understanding of certain tasks over time, which may lead to a transition to automation. [PERSON] and [PERSON] concluded that over-emphasizing either of the two concepts can have a negative effect on the organization's outcomes. Organizations should adopt a broader perspective and compromise both automation and augmentation to benefit the business [2]. AI has also been researched in connection with decision augmentation and automation, as it could potentially enhance human decision making. Humans are likely to desire control and have confidence in handling every situation. The research demonstrated that humans tend to have little trust in AI [14]. Considering the available research on AI today, some parts of management will arguably be automated, while others will be augmented by AI. A recent study by [PERSON] and [PERSON] et al. investigates AI's degree of impact on particular areas of project management and how it might augment the different areas. According to the results, AI will clearly affect the future of project management and its knowledge areas, as defined in the _PMBOK_. The research demonstrates that out of the ten knowledge areas, project schedule management, project cost management and project risk management are likely to be affected the most by AI and benefit from it [5]. Going forward, AI is a benefit for project managers. It can handle scheduling, planning, and risks and decreases the need for human input. It can be used as an assistant to project managers, which allows them to spend more time on tasks where the human mind is necessary and tasks that involves its employees.