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Ethics Bistro

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We all tackle ethical dilemmas. Wrong decisions can break careers. Which are the key challenges faced? What are some likely solutions? Where can we find effective tools? Who can apply these and why? Dry, theoretical discussions don't help. Join us for lively, light conversations to learn, share and grow!

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Tara Leparulo
Shenila Shahabuddin
Juan Posada Toro
Albert Agbemenu
Ming Yeung
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Witold Hendrysiak
Stelian ROMAN
Laszlo J. Kremmer MBA, CSPO®, CSM®, PMP®

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Cultural Shift: Artificial Intelligence, Machine Learning, and Project Practice

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We are now facing a new wave of transformation like the “webification” era two decades ago. This time, it is artificial intelligence (AI) and machine learning (ML). As project practitioners, we must ask: how do these technologies reshape company culture, and how do we guide organizations through the turbulence?

AI is not just another tool—it changes how decisions are made, how work is distributed, and how value is delivered. It can automate repetitive tasks, provide predictive insights, and even challenge traditional hierarchies by empowering data-driven decision-making. However, these benefits come with cultural challenges, including trust, transparency, and ethical responsibility.

Cultural change is often the most challenging aspect. With AI, the stakes are higher because people fear being replaced. To make a seamless shift, secure senior management buy-in; without leadership commitment, AI initiatives stall. Start with a pilot project involving a small, willing team that can demonstrate clear benefits, such as faster reporting, reduced errors, or improved forecasting. Use advocates and let these satisfied users share their success stories, which build momentum and reduce resistance. AI adoption should feel like a snowball rolling downhill, gaining speed and enthusiasm as more people recognize its value.

Benefits must be crystal clear, where “AI” alone does not mean business value. Identify specific improvements, such as automating workflows to reduce manual errors, enhancing project visibility with predictive analytics, optimizing resource allocation to lower costs, and freeing staff from repetitive tasks so they can focus on creative, strategic work. When AI is introduced only for marketing buzz or compliance optics, resistance will be stronger. On the other hand, the cultural shift becomes smoother as the first AI initiative demonstrates tangible benefits.

Information must be meaningful. Too often, AI systems generate dashboards or reports that overwhelm rather than enlighten. If end users cannot quickly find actionable insights, they will revert to old habits. Communication is critical, as it explains what AI will deliver, when, and how it should be used. It also provides training to ensure staff understand the system’s strengths and limitations and utilizes pilots to refine usability before scaling. In short, AI should empower, not confuse.

Cultural change is cultural change, whether it is the web or AI. Start with strategy: what outcomes does the company want? Then identify processes that are most critical to achieving those outcomes. Engage the knowledge workers who understand those processes best. Facilitate discussions on how AI can enhance their capabilities. This engagement ensures that AI adoption is not imposed but rather co-created. It keeps the focus on the value delivered, rather than technology for its own sake. Remember: technology is a means, not an end.

Bring the human side of the story. Sometimes the simplest benefits win hearts. During the web shift, putting the phone directory online was a breakthrough. For AI, start with something equally obvious, such as AI-driven scheduling that saves hours of manual coordination, smart search that retrieves project documents instantly, and/or automated compliance checks that reduce audit stress. Do not sell paradigm shifts; just sneak them in through everyday wins.

From these perspectives, several themes emerge: 
  1. Leadership buy-in is non-negotiable. 
  2. Pilot projects are the safest way to prove value. 
  3. Clear benefits must be communicated and demonstrated. 
  4. Meaningful information is more important than flashy dashboards. 
  5. Strategy alignment ensures AI adoption delivers stakeholder value. 
  6. Simple wins build trust and momentum. 
Yet, unlike the web shift, AI raises profound ethical questions: 
  • Bias and fairness: AI models can perpetuate discrimination if not carefully designed. 
  • Transparency: Stakeholders must understand how AI reaches conclusions. 
  • Accountability: Who is responsible when AI makes a wrong call? 
  • Privacy: AI often relies on sensitive data—how is it protected? 
  • Workforce impact: Automation may displace roles. How do we retrain and redeploy talent responsibly? 
Project practitioners must champion ethics alongside efficiency. Delivering benefits without ethical safeguards risks reputational damage and stakeholder mistrust. 
As project leaders, we must not only deliver benefits but also safeguard ethical values, as prescribed in the PMI Code of Ethics and Professional Conduct and stipulated in PMI Ethical Decision Making Framework.

Here are actionable steps: 
  • Embed ethics in project charters: Make fairness, transparency, and accountability explicit objectives. 
  • Educate stakeholders: Provide training in AI’s capabilities and limitations. 
  • Audit algorithms: Regularly check for bias and unintended consequences. 
  • Prioritize human oversight: Ensure critical decisions involve human judgment. 
  • Champion inclusivity: Use AI to augment, not replace, human talent. 
  • Communicate openly: Share both successes and challenges of AI adoption. 
The cultural shift to AI/ML is inevitable. Our responsibility as project practitioners is to guide organizations through it ethically, ensuring that technology enhances—not erodes—trust, collaboration, and human dignity.

In closing, AI and ML are reshaping it today, just as the web transformed project management two decades ago. The challenge is not only technical but cultural. By focusing on strategy, demonstrating clear benefits, and embedding ethics into every initiative, we can deliver projects that are both successful and responsible.

Let us commit to being ethical while delivering benefits and consider these questions: 
  • How do we secure buy-in when AI alters workflows and job roles? 
  • What pilot projects best demonstrate AI’s tangible benefits without overwhelming staff? 
  • How do we balance efficiency gains with ethical responsibility? 
  • How do we ensure transparency in AI-driven decisions? 
  • What frameworks can help us retrain staff displaced by automation? 
  • How do we measure cultural readiness for AI adoption? 
What keeps you, a project practitioner, up at night? Let us deliberate on the finer points of project management.

References: 
Project Management Institute. (2025 November). PMI Code of Ethics and Professional Conduct. pmi.org. https://www.pmi.org/-/media/pmi/documents/public/pdf/ethics/pmi-code-of-ethics.pdf 
Project Management Institute. (2025 November). PMI Ethical Decision Making Framework. pmi.org. https://www.pmi.org/-/media/pmi/documents/public/pdf/ethics/ethical-decision-making-framework.pdf 
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Posted by Ming Yeung on: January 07, 2026 10:57 AM | Permalink | Comments (8)

What is new in PMBOK 8 – An ethics perspective

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Imagine a team of explorers crossing a desert. No matter how skilled its members are or how modern their vehicles are, they may not succeed in reaching their destination without a compass. In project management, ethics serve as that compass, guiding decision-making, fostering trust, and ensuring accountability.
 For PMI Members, the compass is the Code of Ethics and Professional Conduct. Developed even before the first edition of the Project Management Book of Knowledge, the Code was and remains the holder of the guardrails of the project management profession.
PMBOK 7 replaced knowledge areas with performance domains. The 8th is more aligned with the Agile delivery approach, whilst retaining the importance of good governance. Like the previous version, the PMBOK highlights alignment with both internal and external environments. It is important to note the focus on artificial intelligence and sustainability.
Principles of project management
PMBOK 8 simplified the 12 principles from the 7th edition to create a more focused and actionable foundation for modern project management. The principles of project management are aligned with the values of PMI’s Code of Ethics and Professional Conduct. They do not follow the same format, and they are not duplicative; rather, the principles and the Code of Ethics are complementary.
·Adopt a holistic view: Consider the project within its larger organizational and ecosystem context.
·Focus on value: Prioritize delivering tangible value and aligning project outcomes with strategic goals.
·Embed quality into processes and deliverables: Integrate quality throughout the project lifecycle, not just as a final check.
·Be an accountable leader: Take ownership and responsibility for the project's success and outcomes.
·Integrate sustainability within all project areas: Include environmental and social considerations in project work.
·Build an empowered culture: Foster a project environment that empowers team members. 
Enterprise environmental factors: Internal and external to the Organization
·The standard emphasises the impact of organizational culture, structure, and governance. Aspects like vision, mission, values, beliefs, cultural norms, leadership style, hierarchy and authority relationships, organizational style, ethics, and code of conduct remain critical success factors, as well as a framework for ethical decision making. Social and cultural influences and issues. External factors include political climate, regional customs and traditions, public holidays and events, codes of conduct, ethics, and perceptions.

Artificial Intelligence (AI)
AI ethical issues, especially the responsible use of AI tools and the negative impact on project team members, are an especially important aspect. Topics like data privacy and security can be addressed using technical controls. Issues like bias and fairness require special attention from project managers. Lack of clarity on who is responsible when AI-driven decisions go wrong can create confusion and an unending blame game. AI agents cannot be (yet) included in a Responsible, Accountable, Consulted, or Informed (RACI) matrix. Although their use is unavoidable, the responsibility and accountability remain with the human user.
The use of AI is dependent on context, and it should be assessed for each project through a decision-making process to determine when AI can assist with tasks or provide more time for other valuable activities. The evaluation should be focused on the use of AI to produce project artifacts. Initiative-taking measures should be considered to identify and assess the risk of incorporating AI and determine if it is acceptable or it should be controlled.
Below is a list of some ethical concerns related to the use of AI in projects
  • Accountability and responsibility: When AI systems are used for decision-making, it is challenging to assign accountability if something goes wrong. AI agents are not members of the project team; they are a tool that should augment human capabilities. Project managers need to establish clear lines of responsibility for the outcomes of AI-driven projects.
  • Bias and fairness: AI is still in its infancy, and finding large volumes of good-quality data that can be used to train AI models is difficult. AI models can inherit biases from the data they are trained on, leading to unfair or discriminatory outcomes in areas like task assignment or performance evaluation. These biases can reinforce existing societal prejudices related to factors like gender, race, or socioeconomic status, potentially leading to workplace discrimination and legal penalties.
  • Transparency and explainability: The "black box" nature of some AI algorithms makes it difficult to understand how they reach a decision. This lack of transparency can erode trust and make it hard for project managers to oversee, troubleshoot, or validate AI-driven recommendations.
  • Over-reliance on AI agents and lack of human oversight: At any point in the project, the control should remain with humans and avoid over-reliance on AI. Lack of knowledge and practice can lead to a decline in critical thinking and human judgment among team members.
Chapter X3.3 (Responsible Use and Ethical Concerns) provides guidance for project managers to mitigate the risks associated with AI, putting the emphasis on project managers to assess the challenges and benefits and make appropriate decisions regarding AI’s use in projects. For example, to avoid bias the standard recommends the following controls:
·Diversification of the data sets on which the AI system is trained;
·Periodic tests conducted on the AI system, with particular focus on bias; and
·Involvement of different teams in the development of the AI system.


Procurement is another ethics area of focus that PMBOK 8 provides guidance on. In chapter X4.9.2, Sensitivity of Legal Actions and Upholding Ethics Codes, the standard provides considerations to avoid impact on project outcomes and stakeholder relationships:
·Nuanced communication.
·Escalation protocols.
·Confidentiality.
·Impartiality.
PMBOK 7 explicitly references the PMI Code of Ethics as a complementary and essential guide for project professionals. This code provides the specific rules for ethical conduct, based on core values of honesty, responsibility, respect, and fairness.
  • Contextual application: The principles and the code are designed to be applied within the context of project work. Ethical dilemmas are often encountered when balancing conflicting needs, and the framework provides guidance for decision-making.
  • Performance domains: Ethical dilemmas can arise in any of the performance domains (e.g., Stakeholders, Delivery, Performance). The principles and the code provide the tools for navigating these situations and making responsible choices.
  • Focus on value: Ethical considerations are a crucial part of focusing on long-term value, rather than just short-term outputs, ensuring that projects are conducted in a responsible and sustainable way. 
Connection to PMI's Code of Ethics
  • The principles in the PMBOK 8th Edition align with and reinforce the values in the PMI Code of Ethics and Professional Conduct, which are honesty, responsibility, respect, and fairness.
  • Project managers are expected to apply these principles in their daily work to make ethical choices that lead to positive results and maintain trust. 
  • The PMI Code of Ethics and Professional Conduct remains the primary source for detailed ethical guidelines.
  • ProjectManagement.com offers webinars that discuss the connection between PMBOK 7 principles and the Code of Ethics. 
Posted by Stelian ROMAN on: December 11, 2025 06:47 PM | Permalink | Comments (4)

Falsified by AI, Rectified by Ethics: Project Managers at the Crossroads

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The rise of generative artificial intelligence has ushered in unprecedented efficiencies across industries. However, as highlighted in the article “Phony AI-Created Receipts Become Real Problem for Businesses” (PYMNTS, 2025), it has also enabled new forms of ethical misconduct. The report reveals a troubling trend: employees using AI-powered image generation tools to create fraudulent expense receipts. Platforms like AppZen and Ramp have detected a surge in falsified documents, with AppZen reporting that 14% of all fraudulent submissions last month were AI-generated, a stark increase from zero the previous year. These receipts often feature realistic details such as wrinkles, itemized menus, and forged signatures, making them difficult to detect.
This misuse of AI technology violates the core principles of ethical conduct, particularly within the project management profession. The Project Management Institute (PMI) Code of Ethics and Professional Conduct emphasizes four foundational values: responsibility, respect, fairness, and honesty (PMI, 2016). Falsifying receipts for reimbursement breaches all four values. It undermines trust, exploits organizational systems, and shifts financial burdens unfairly with actions that are antithetical to the integrity expected of project professionals.
To navigate such ethical dilemmas, PMI offers the Ethical Decision-Making Framework (EDMF), a structured tool that guides professionals through evaluating options, considering stakeholder impact, and aligning decisions with PMI’s core values (PMI, 2019). The EDMF encourages reflection on whether an action is legal, fair, and in line with professional standards. In cases like AI-generated receipt fraud, the framework would clearly identify the behavior as unethical, regardless of technological sophistication or perceived harmlessness.
Discrediting the use of AI for fraudulent purposes is essential. While AI can enhance productivity, its misuse for deception erodes organizational culture and exposes companies to financial and reputational risks. Ethical misconduct, especially when aided by advanced tools, must be met with robust countermeasures. These include implementing AI-detection systems, conducting regular audits, and fostering a culture of ethics through training and leadership modeling.
Project professionals must lead by example. As stewards of organizational resources and strategy, they are uniquely positioned to champion ethical behavior. This includes reporting misconduct, mentoring peers, and integrating ethical considerations into project planning and execution. Organizations should also reinforce ethical standards by embedding the PMI Code of Ethics into performance evaluations and decision-making processes.
In conclusion, the project management community must remain vigilant and proactive. The misuse of AI to falsify expense receipts is not merely a technical issue, but a moral one. By adhering to PMI’s Code of Ethics and leveraging the EDMF, professionals can uphold integrity, protect organizational assets, and ensure that technological advancements serve the greater good.
As the use of AI becomes mainstream and widespread, the improper application becomes prevalent. How would you practice ethical leadership in this situation? What guardrails would you implement to mitigate the ethical use of AI? Our Ethics Advisory Team loves to hear from you on your perspectives.

References
Project Management Institute. (2016). Code of Ethics and Professional Conduct. https://www.pmi.org/about/ethics/code
Project Management Institute. (2019). Ethical Decision-Making Framework. https://www.pmi.org/about/ethics/ethical-decision-making-framework
PYMNTS. (2025, October 25). Phony AI-Created Receipts Become Real Problem for Businesses. https://www.pymnts.com/news/security-and-risk/2025/phony-ai-created-receipts-become-real-problem-for-businesses
Posted by Ming Yeung on: November 14, 2025 02:39 AM | Permalink | Comments (2)

Facing an ethics complaint? Don’t Panic: Hints for PMI Ethics Complaint’s Respondent

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Getting notice that you’re accused of violating PMI’s Code of Ethics and Professional Conduct is unsettling. Breathe. This is the moment to steady yourself, get clear on the facts, and respond thoughtfully. The path forward is practical and values-based.

Use the following steps to organize your response and act with responsibility, respect, fairness, and honesty.

  • Pause and get grounded
    • Don’t panic. Give yourself enough time to read the notice carefully and understand what’s being asked of you.
    • Note deadlines, requested information, and any instructions about confidentiality.
  • Assess your position against the Code
    • Ask yourself plainly: do you agree a violation occurred, in whole or in part?
    • Map the situation to the Code’s expectations. Where does your conduct align? Where might it fall short?
    • Keep judgment neutral and fact-based. Avoid speculation about others’ motives.
  • Reconstruct the facts
    • Gather objective materials that support your position (emails, messages, documents, system logs, meeting notes).
    • If it’s a “word against word” situation, identify witnesses who directly observed the event and can share their perspective.
    • Write a precise timeline: what happened, where, when, and who was involved.
  • Review what happened after the event
    • Document what you did between the event and receiving the notification.
    • Note any actions you took to address the issue, your initial reaction, and any steps to prevent recurrence.
  • Prepare a clear, complete response
    • Answer the questions you received directly and completely.
    • Explain the situation from your point of view, sticking to facts and timelines.
    • Acknowledge uncertainties rather than filling gaps with assumptions.
    • Keep your tone professional and cooperative.
  • Cooperate with the process
    • Meet deadlines, provide requested materials, and be responsive.
    • Maintain confidentiality and be respectful in all communications.
    • Avoid retaliatory behavior or commentary; let the process work.
  • If a violation occurred, own it and repair it
    • If you agree that a violation happened, state that clearly.
    • Propose concrete steps to make things right: clarifications or apologies where appropriate, restitution if harm occurred, corrective actions, and controls to prevent recurrence.
    • Share what you’ve learned and what will change in your practice (training, mentoring, improved procedures).
    • Openness and accountability matter. The Ethics Review Committee considers genuine ownership and corrective action.
  • Use your time during the hearing
    • Make the best out of your time during the hearing. You will have 10 minutes to present your position.

A steady, principled response demonstrates professionalism under pressure. Focus on facts, align with the Code, cooperate fully, and—if needed—make amends and show how you will do better. Don’t panic. Lead with integrity, and let that guide your next steps.

Familiarize yourself with the PMI Code of Ethics and Professional Conduct and refer to Ethics Case Responses & Findings for more details.

Let me know if you find this article valuable. What other hints would you add?

Posted by Witold Hendrysiak on: October 16, 2025 08:58 AM | Permalink | Comments (5)

The Hidden Cost of Falsified Receipts: A Breach of PMI’s Ethical Foundations

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In the bustling offices of YKF Technical Solutions, a mid-sized IT firm, Lai-mui, its project manager, was leading a high-stakes software deployment for a government client. With tight deadlines and mounting pressure, Lai-mui delegated expense reporting to her trusted team lead, Deejay. Weeks later, during a routine audit, discrepancies surfaced as receipts for meals, travel, and equipment were inflated or entirely fabricated. Deejay admitted to falsifying receipts to “compensate for overtime and stress.” Lai-mui was stunned. What seemed like a minor infraction was, in fact, a serious ethical breach.

This scenario is not uncommon, yet it strikes at the heart of the PMI Code of Ethics and Professional Conduct, which is built on four core values: Responsibility, Respect, Fairness, and Honesty.

Violations of PMI’s Core Values

  • Responsibility: Deejay failed to take ownership of his actions and misused organizational resources. Ethical responsibility demands accountability, especially in financial stewardship. Falsifying receipts undermines trust and exposes the organization to legal and reputational risks.
  • Respect: By manipulating expense reports, Deejay disrespected the trust placed in him by Lai-mui, the client, and the company. Respect includes honoring the dignity of others and the resources entrusted to us—including budgets and public funds.
  • Fairness: Inflated claims create an uneven playing field. Honest employees, unlike Deejay, who follow protocol are disadvantaged, and project funds are misallocated. Fairness requires transparency and equal treatment, not personal gain at the expense of others.
  • Honesty: The act of falsifying receipts is a direct violation of truthfulness. PMI’s Code of Ethics and Professional Conduct emphasizes that honesty is the cornerstone of ethical project management. Deejay’s deception eroded stakeholder confidence and jeopardized the integrity of the project.

Applying the PMI Ethical Decision-Making Framework (EDMF)

Lai-mui, now faced with an ethical dilemma, turned to the PMI Ethical Decision-Making Framework. The EDMF guided her through:

  1. Assessment: Identifying the facts and stakeholders affected.
  2. Alternatives: Considering disciplinary action, restitution, and process improvements.
  3. Analysis: Evaluating options against PMI’s values.
  4. Application: Choosing a course of action aligned with ethical standards.
  5. Action: Reporting the incident, initiating corrective measures, and reinforcing ethical training.

Call to Action

The project management community must treat ethics as a living practice, not a checkbox. We must:

  • Educate teams on PMI’s Code of Ethics and Professional Conduct.
  • Embed ethical discussions into retrospectives and planning.
  • Encourage transparent reporting and protect whistleblowers.
  • Use the EDMF to navigate gray zones with clarity.

Conclusion

Ethical leadership is not just about doing things right; it’s about doing the right things. Falsifying receipts may seem minor, but its ripple effects can compromise entire projects. Let’s recommit to the values that define our profession and lead with integrity, every step of the way.

Questions for Reflection

  1. How can organizations prevent expense fraud without creating a culture of fear?
  2. What systems should be in place to detect and deter falsified claims?
  3. How do we empower team members to report unethical behavior safely?
  4. What role should project managers play in modeling ethical financial practices?

References:

Project Management Institute, Inc. (2025). Ethics. pmi.org. https://www.pmi.org/about/ethics

Project Management Institute, Inc. (n.d.). Ethics Guidelines. pmi.org. https://www.pmi.org/about/ethics/guidelines

Project Management Institute, Inc. (n.d.). PMI Code of Ethics and Professional Conduct. pmi.org. https://www.pmi.org/-/media/pmi/documents/public/pdf/ethics/pmi-code-of-ethics.pdf

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Posted by Ming Yeung on: October 16, 2025 01:28 AM | Permalink | Comments (4)
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