Gains:
- Understanding the confidentiality level of project data (customer, budget, personnel, contract) and the anonymization, storage and sharing rules within the scope of KVKK / NDA
- Ability to draft ethical principles (transparency, justice, accountability) and a corporate AI governance policy in the use of artificial intelligence
- Being able to establish a governance framework in which artificial intelligence output does not replace managerial and contractual decisions, and responsibility and final approval always remain with humans.
Module Exam
1. A project manager promises the time estimate produced by artificial intelligence as a delivery date directly to the customer without any verification. What is the fundamental mistake in this approach?
- A) Transforming the artificial intelligence prediction into a commitment without going through team data and managerial verification; Ignoring that the responsibility lies with people ✔
- B) It is strictly forbidden to use artificial intelligence in project management
- C) Artificial intelligence always makes the time appear shorter than it is
- D) The estimate is not presented in a table
Description: Artificial intelligence produces a prediction based on past pattern and assumptions; However, the delivery date commitment is a contractual obligation and should be verified by team capacity, actual schedule and expert judgment. An unverified estimate is like an unsigned commitment and the responsibility lies with the project manager.
2. Which of the following is the most appropriate approach when entering project and customer data into a publicly available artificial intelligence tool?
- A) Pasting the customer name and contract amount as is for speed
- B) Extracting identity and trade secret information, anonymizing the data and using corporate, contracted tools if possible ✔
- C) Hide only the customer name and leave the contract amount
- D) It is sufficient to obtain verbal permission from the team leader before sharing data.
Disclosure: Client name, contract amount, personnel information and content subject to non-disclosure agreement (NDA) are sensitive. Identity and trade secret information should be removed, data should be anonymized, and if possible, corporate, data processing contracted tools that do not use data in model training should be preferred.
3. What is the most correct approach when using the draft produced by artificial intelligence in the work breakdown structure (WBS)?
- A) Approve the draft as is and start the project
- B) Review the draft with the team and stakeholders and confirm it according to scope, delivery and acceptance criteria ✔
- C) Completely remove WBS and work directly with the task list
- D) Accepting every package produced by artificial intelligence as a working package
Description: AI can produce a general WBS outline; however, the appropriateness of work packages to the organization's actual scope, resources, and deliverables should be confirmed through team and stakeholder validation. Incomplete or unrealistic packages cause scope creep.
4. What is the main reason for working with a three-point (optimistic/possible/pessimistic) prediction instead of a single number given by artificial intelligence in time prediction?
- A) Presenting three values makes the report look longer
- B) Because artificial intelligence cannot produce single numbers
- C) Since the forecast involves uncertainty, it is necessary to make the planning flexible according to the scenarios and leave a margin for the risk of delay ✔
- D) Because the pessimistic forecast always gives the true value precisely
Explanation: The forecast is based on assumptions and historical data and involves uncertainty. Planning according to a range rather than a single point allows you to leave room for the risk of delays and manage scenarios. Methods such as PERT convert these three values into a weighted average.
5. What does critical path mean in a project schedule?
- A) List of the most expensive tasks in the project
- B) The set of tasks that use the most resources
- C) Chain of connected tasks that have zero margin of delay and whose delay delays the entire project ✔
- D) Tasks completed in the first week of the project
Description: The critical path is a chain of connected tasks with zero slack that determines the total duration of the project. Delaying any task along this path delays the entire project; Therefore, management attention should focus on the critical path first.
6. What should the project manager do when using the probability and impact values assigned by artificial intelligence in the risk register?
- A) Accept the values as they are and close the risk record
- B) Calibrate probability and impact values with the institutional context and determine the risk owner and response strategy with an expert ✔
- C) Delete only high scoring risks
- D) Not recording the risks at all and following them verbally
Description: Artificial intelligence helps identify risks and draft scoring; however, probability and impact estimates require institution-specific context and should be refined through expert calibration. Risk ownership and final response decision rest with the human.
7. What does the 'watermelon' (green on the outside, red on the inside) effect in status reporting mean and how can artificial intelligence create a trap in this regard?
- A) The report always comes out red
- B) Presenting the situation as green/good when the project is actually problematic; ✔ AI polishes optimistic input without verifying it
- C) Writing the report only in the summer months
- D) Artificial intelligence produces the report very slowly
Explanation: The Watermelon effect is the tendency to show the project's status as green (good) when it is actually red. AI can reinforce given optimistic input with polished language; The project manager must verify the status colors with actual EVM and field data.
8. What is the most common mistake when summarizing the meeting transcript with artificial intelligence?
- A) Separating meeting notes into decision and action headings
- B) Assigning responsibilities and deadlines to actions
- C) Distributing the decisions, actions and responsibilities made by artificial intelligence as they are, without verifying them ✔
- D) Reading the summary before sharing it with the participants
Explanation: AI may skip a decision, assign action to the wrong person, or make up an unspoken commitment. The summary should not be distributed without verification with the actual participant and decision context; Also, hidden content should be checked.
9. What is the main purpose of the power/interest matrix in stakeholder analysis?
- A) Arranging stakeholders in alphabetical order
- B) Classifying stakeholders according to their power and interest level and directing the communication intensity to the right stakeholder ✔
- C) List only the highest-paid stakeholders
- D) Hiding stakeholders' contact information
Description: The power/interest matrix classifies stakeholders in terms of their power of influence and interest in the project; Thus, it is determined who needs close management, who needs information, and who needs satisfaction-oriented communication. Communication effort is focused on the right stakeholder.
10. What does the 'iron triangle' (scope-time-cost) remind of in the impact analysis of a change request?
- A) Scope, time and cost are independent of each other
- B) Changing one variable affects the others; ✔ As the scope increases, time/cost is also affected
- C) There should be only three tasks in the project.
- D) Changes are always free
Description: The iron triangle indicates that scope, time and cost (along with quality) are interconnected; It explains that changing one affects the others. AI can produce a draft impact analysis; However, approval belongs to the competent decision-making authority.
11. Which of the following expresses the correct limit of the use of artificial intelligence in project management?
- A) Artificial intelligence can make all project decisions automatically
- B) Artificial intelligence can only be used in writing text, not in planning and forecasting
- C) Artificial intelligence is an assistant and decision support tool; Responsibility and final approval of critical decisions lie with humans ✔
- D) Artificial intelligence can finalize contractual obligations without human approval
Description: Artificial intelligence assistant, draft generator and decision support tool. Responsibility and final approval of decisions such as budget commitment, delivery date promise, resource allocation and contractual obligation always rest with the competent project manager and responsible stakeholders.
12. What does it mean if the CPI (Cost Performance Index) is 0.85 in earned value management (EVM)?
- A) The project is under budget and progressing efficiently
- B) Less value than planned is produced for the money spent; The project is at risk of overbudget ✔
- C) The project is progressing on time, it has nothing to do with cost
- D) The project is progressing 85 percent faster than planned
Description: CPI = EV / AC. A value below 1 indicates that less value is produced than planned for each unit of money spent, meaning the project is over budget. 0.85 roughly means that 0.85 TL of work is produced for every 1 TL spent and indicates cost deviation.
13. What is the most critical risk that arises when you ask the AI about task durations in the project schedule?
- A) Artificial intelligence makes up the times, presents them fluently, and enters the schedule without verification ✔
- B) Artificial intelligence produces times very slowly
- C) The time recommendation is always automatically accepted by the customer.
- D) Durations can only be produced in days
Explanation: Without seeing the actual data of your project, AI can produce confident but unfounded times (hallucinations) based on past general patterns. Each duration should not be entered into the schedule and commitment without being verified by team capacity and past realizations.
14. Which of the following should be included in a corporate project management AI governance policy?
- A) Just which brand of project management software to purchase
- B) Data classification, anonymization/NDA, human approval points, accountability/audit record and ethical principles ✔
- C) The rule that only project managers can use artificial intelligence
- D) A clause that allows artificial intelligence to make all project decisions alone
Description: Sound governance; It defines which project data can go into which tool, anonymization and NDA rules, human approval points, responsibility and audit trails, ethical principles (transparency, fairness, accountability).
15. What is the best approach when preparing a lessons learned document with artificial intelligence?
- A) Publishing every sentence produced by artificial intelligence as it is
- B) Publish the draft by human reviewing it and verifying context, accuracy, and confidentiality ✔
- C) Never write down the lesson and leave the information in people's memories
- D) Leaving the statements that accuse people by naming them as they are
Description: AI can outline themes and insights from past project records; however, the accuracy, context, and confidentiality of institutional memory require human control. Unanonymised incriminating statements and unsubstantiated inferences harm the institution.