We have compiled a FAQ section that covers common questions and answers regarding the AI Level Definition. This FAQ will be continuously updated to provide the most up-to-date information.
| No. | Question | Answer |
| 1 | Is the AI Level Definition aligned with the PMBOK 7th edition? | A key difference between the 6th and 7th editions of PMBOK is the transition from 10 knowledge areas to 8 performance domains. However, since the core elements remain largely unchanged, the AI Level Definition is compatible with the 7th edition. |
| 2 | Is the AI Level Definition designed specifically for project managers? | Although the supplementary materials of the AI Level Definition primarily focus on project managers, they are intended for all stakeholders involved in project management. |
| 3 | Could you provide guidance on how to use the AI Level Definition effectively? | When implementing AI, discussions may become disjointed due to differing perspectives, solutions, and environmental factors among stakeholders. In such cases, the AI Level Definition serves as a common framework to facilitate better communication and understanding. |
| 4 | How was the AI Level Definition developed? | The AI Level Definition was created through discussions with experts from various industries starting in 2020, resulting in its current form. |
| 5 | What is the proper way to cite the AI Level Definition? | Please ensure that citations comply with Article 32, Paragraph 1 of the Copyright Act, adhering to fair use practices within reasonable limits. Clearly indicate the quoted sections and specify the source. |
| 6 | Can the AI Level Definition be applied to Agile methodologies as well? | The AI Level Definition is not specific to any project methodology and can be applied to both Agile and Waterfall approaches. |
| 7 | What are the key features of the AI Level Definition? | “The AI Level Definition has three primary features: (1)Definitions are provided for each knowledge area of project management. (2)Criteria for automation are established, which serve as benchmarks for classification. (3)The classification criteria and examples are designed to be accessible and understandable for a broad audience.” |
| 8 | Is support available for understanding and utilizing the AI Level Definition? | To gain a deeper understanding, we encourage you to participate in AI@Work WG2 or reach out to its members with any questions. |
| 9 | How is the AI Level Definition utilized within WG2? | Within WG2, the AI Level Definition serves as foundational knowledge during discussions across different sub-groups. |
| 10 | What is the most distinctive feature of the AI Level Definition? | Similar to AI level definitions for autonomous driving, the AI Level Definition helps align stakeholder perceptions, making it easier to achieve a shared understanding. |
| 11 | What direction will the AI Level Definition take in the future? | We plan to release practical examples and information on AI Level Definitions for existing AI use cases to make the AI Level Definition more accessible and useful. |