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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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Navigating AI in Project Management: A Comparison with Racing Co-Pilots and Driverless Cars

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Artificial Intelligence (AI) is revolutionizing industries, and project management is no exception. With advanced tools supporting decision-making, risk mitigation, and efficiency, the project management landscape is increasingly intertwined with AI technologies. However, this evolution raises questions about human responsibility, autonomy, and ethics—questions like those faced in the realms of racing co-pilots and driverless cars. 
This blog explores the pros and cons of using AI in project management and compares these dynamics with racing environments and autonomous vehicle scenarios, focusing on the balance between human involvement and ethical considerations. 
Shape 
The Role of AI in Project Management 
AI-driven tools, such as virtual assistants and machine learning algorithms, are increasingly used to streamline project management processes. From schedule optimization and predictive analytics to stakeholder communication and resource allocation, AI empowers project managers to make well-informed and efficient decisions. 
The Racing Co-Pilot Analogy: Shared Responsibility, Enhanced Performance 
In professional racing environments, a co-pilot performs critical tasks: navigating the course, analysing conditions, and advising the driver. This relationship mirrors the human-machine collaboration often seen in project management. Here, AI acts as a "co-pilot," assisting project managers while leaving primary control in human hands. Let us examine this analogy: 
Pros of AI as a Co-Pilot in Project Management: 
  1. Enhanced Decision-Making: AI algorithms analyse massive datasets to predict outcomes and recommend actions, akin to a co-pilot guiding navigational decisions during a race. 
  2. Efficiency Gains: AI automates repetitive tasks and improves processes, freeing project managers to focus on strategy—like how co-pilots manage tactical information during high-speed races. 
  3. Risk Reduction: By identifying potential issues in advance, AI serves as an advisor, much like a racing co-pilot warning about challenging road conditions, enabling initiative-taking corrections. 
Cons of AI as a Co-Pilot: 
  1. Over-Reliance on AI: Just as a driver must remain vigilant and not entirely dependent on the co-pilot, project managers risk deferring critical decisions to AI tools, potentially leading to a lack of accountability. 
  2. Ethical Blind Spots: Racing ethics demand fair play and adherence to rules; similarly, ethical AI use in project management calls for attention to bias, transparency, and fairness. Overlooking these aspects can harm stakeholders or perpetuate inequitable practices. 
In this analogy, collaborative relationships thrive when the human retains ultimate responsibility while leveraging AI as a supporting entity. 
Shape 
The Driverless Car Comparison: Autonomous AI in Project Management 
Shifting perspective, consider driverless cars: vehicles fully controlled by AI, requiring minimal human intervention. Some envision project management systems that resemble a driverless car—autonomous AI overseeing the project's execution from start to finish. While promising, this model has risks and challenges to consider. 
Pros of Autonomous AI in Project Management: 
  1. Unparalleled Precision: Autonomous AI can minimize human errors, akin to driverless cars maintaining perfect lane control or braking at precisely calculated intervals. 
  2. Scalability: AI can manage complex, multi-layered projects beyond human capacity, like its role in optimizing traffic flows with autonomous vehicle networks. 
Cons of Autonomous AI: 
  1. Loss of Human Judgment: Driverless cars highlight the drawback of removing human intuition, empathy, and situational awareness—a challenge mirrored in project management where human leadership and creativity are essential. 
  2. Accountability Gaps: In a driverless car accident, responsibility is ambiguous. Similarly, with autonomous AI, project managers may struggle to allocate accountability for errors, raising ethical dilemmas. 
  3. Ethical Concerns: Driverless cars must navigate moral conflicts (e.g., protecting passengers versus pedestrians). In project management, fully autonomous systems must grapple with potentially biased decisions affecting stakeholders, raising questions of fairness and inclusivity. 
Shape 
Ethical Considerations: Responsibility and Integrity 
Both racing co-pilots and driverless cars illustrate contrasting extremes in human-machine collaboration. A key differentiator in these scenarios is ethical responsibility: 
  • In shared responsibility (co-pilot), humans are ethically required to oversee and correct AI outputs, ensuring alignment with organizational values and stakeholder trust. Like racing, project managers retain control while benefiting from AI's support. 
  • In autonomous systems (driverless cars), ethical concerns magnify as AI takes over critical decisions. Issues of fairness, inclusivity, and transparency emerge, demanding rigorous bias checks, accountability frameworks, and adherence to PMI’s Code of Ethics principles. 
Driving AI responsibly in projects calls for a careful balance. Project managers must evaluate how AI’s involvement impacts stakeholder trust, transparency, and ethical integrity. 
Shape 
Conclusion: The Road Ahead for AI in Project Management 
The racing co-pilot and driverless car analogies shed light on the pivotal balance required in leveraging AI for project management. While AI offers immense benefits—such as efficiency, precision, and scalability—it also raises concerns about accountability, ethical responsibility, and judgment. As the PMI Code of Ethics underscores values like fairness, honesty, and responsibility, project managers must ensure AI tools serve as partners rather than replacements, fostering trust and inclusivity. 
By choosing the right path—whether enhanced collaboration or selective autonomy—project managers can steer their projects responsibly toward success while maintaining the ethical values essential to effective leadership. 

Related discussion topic: Can project management run on AI autopilot?


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Posted by Stelian ROMAN on: March 04, 2026 03:42 AM | Permalink | Comments (5)

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)

The Ethical Compass of Project Management: Doing What is Right Beyond What is Legal

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"Legality draws the line we must not cross; ethics raises the bar we strive to reach."

In project management, success hinges on timelines, budgets, and deliverables. Yet, beneath these metrics lies a deeper principle: ethics. As practitioners, we are trained not just to follow the law but to do "what is right." This distinction—between legality and morality—shapes our decisions, builds trust, and defines our legacy.

Legal vs. Ethical Standards

Legality sets the baseline: contracts met, regulations followed. It is the minimum standard. Ethics, however, pushes us further. A project might be legally sound yet ethically flawed—say, exploiting a contract loophole to cut safety costs. The law might permit it, but "what is right" demands we reject it. This mindset is not optional; it is ingrained through certifications like PMI’s Code of Ethics and Professional Conduct (CoEPC), which emphasizes Responsibility, Respect, Fairness and  Honesty.

The Ethical Foundation

Our training instils a moral compass. It is the instinct to challenge a decision that harms stakeholders or the courage to prioritize sustainability over profit, even when laws do not require it. This is not about rule-following—it is about anticipating consequences and acting with integrity. A project manager who opts for greener practices beyond legal mandates is not just ethical; they are visionary, fostering innovation and goodwill.

Why Ethics Trumps Legality

Focusing on "what is right" is not altruism—it is practical. Projects are ecosystems of people and relationships. A legally compliant but ethically weak project might succeed short-term but falter in trust or reputation. Conversely, ethical choices—like fair labour practices or transparency—build loyalty and resilience. Clients remember integrity; teams thrive under it. Ethics does not just elevate outcomes; it sustains them.

The Real-World Balancing Act

Reality complicates this ideal. Tight deadlines and budgets test our resolve. Do you delay a project to fix an ethical issue, risking stakeholder ire? Do you push a team harder to meet a moral goal, risking burnout? These trade-offs demand balance. Ethical project managers lean on transparency—engaging stakeholders, explaining dilemmas, and finding collaborative fixes. This keeps projects on track without compromising principles.

The Ripple Effect

Ethical decisions ripple outward. Rejecting a bribe sets a standard. Prioritizing community impact over profit inspires trust. These choices, often subtle, shape cultures and industries. They prove project managers are not just taskmasters—we are stewards of progress. PMI’s Ethical Decision-Making Framework (EDMF) is a great tool to refer.

Conclusion: Ethics as Our Guide

Our indoctrination to "do what is right" elevates project management from execution to purpose. Legality is the guardrail; ethics is the compass. It ensures our work does not just meet deadlines but leaves a positive mark. In a field of constant change, this commitment to integrity anchors us, turning projects into legacies worth building.

Question

Have you come across projects that have proved to be more Ethical beyond Legal?  Please share your thoughts and insights!

Posted by Kannan Ganesan on: March 24, 2025 12:19 PM | Permalink | Comments (10)

Navigating Ethical Challenges in Project Management: Fairness, Favoritism, and Prejudice

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Fairness is not an attitude. It's a professional skill that must be developed and exercised – Brit Hume”

In the dynamic world of project management, maintaining fairness and avoiding favoritism and prejudice are crucial for fostering a productive and harmonious work environment. These ethical challenges can significantly impact team morale, project outcomes, and the overall success of an organization. Let’s delve into how fairness, favoritism, and prejudice play out in project management and explore strategies to address these issues effectively.

 

1. The Importance of Fairness

  • Impartial Decision-Making: Fairness in project management involves making decisions impartially and objectively. This means evaluating team members based on their skills, performance, and contributions rather than personal biases or relationships.
  • Equal Opportunities: Providing equal opportunities for all team members to participate, contribute, and grow is essential. This includes fair distribution of tasks, recognition, and rewards.

 

2. The Detrimental Effects of Favoritism

  • Resentment and Demotivation: Favoritism can lead to resentment among team members who feel overlooked or undervalued. This can result in decreased motivation and productivity.
  • Unbalanced Workload: When certain individuals are favored, it can lead to an unbalanced workload, where some team members are overburdened while others have less to do. This imbalance can affect the overall efficiency of the project.

 

3. Addressing Prejudice in the Workplace

  • Awareness and Training: Raising awareness about unconscious biases and providing training on diversity and inclusion can help mitigate prejudice. This ensures that all team members are treated with respect and fairness.
  • Inclusive Culture: Promoting an inclusive culture where diverse perspectives are valued and encouraged can help reduce prejudice. This involves actively listening to and considering the viewpoints of all team members.

 

4. Strategies for Promoting Fairness

  • Transparent Processes: Implementing transparent processes for decision-making, task allocation, and performance evaluation can help ensure fairness. Clear criteria and open communication are key to maintaining transparency.
  • Regular Feedback: Providing regular and constructive feedback helps team members understand their strengths and areas for improvement. This fosters a culture of continuous learning and development.

 

5. Creating a Positive Work Environment

  • Recognition and Appreciation: Recognizing and appreciating the efforts and achievements of all team members fosters a positive work environment. This helps build trust and encourages everyone to contribute their best.
  • Conflict Resolution: Addressing conflicts promptly and fairly is crucial. Ensuring that all parties are heard and that resolutions are based on facts rather than biases helps maintain a harmonious team dynamic.

 

Conclusion

Fairness, favoritism, and prejudice are critical issues in project management that can significantly impact team dynamics and project success. By promoting fairness, addressing favoritism, and mitigating prejudice, project managers can create a more inclusive, productive, and positive work environment. This not only enhances team morale but also drives better project outcomes.

Question:

What are your experiences with fairness, favoritism, and prejudice in project management? How have you addressed these challenges in your projects? Share your thoughts and insights!

Posted by Kannan Ganesan on: July 31, 2024 12:00 PM | Permalink | Comments (8)

See Something, Say Something – But How?

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Running into her friend and colleague Samir, Lisa said “I’m glad I saw you -- I wanted to get your thoughts on something that happened in a meeting this week. I’m not sure what I should do.”

“What do you mean?” replied Samir.

“Well, the other day we had a program meeting of all the PMs assigned to the new restructuring program to talk about stakeholder engagement. In the discussion, I mentioned that the PMBOK is a great guide to best practices in this domain. One of the PMs, new to our organization, asked what I was referring to – hard to believe, but she didn’t know about the PMBOK and only slightly knew about PMI. I suggested she think about joining PMI, and by way of proof I added that, as a member of PMI, I had a PDF download of the PMBOK and showed her the Stakeholder Engagement Domain section on my laptop. She was very interested and asked me to send her a copy of the PDF. When I explained that I could not do that because it would be a violation of the PMI Code of Ethics and Professional Conduct, she was visibly annoyed. To my surprise, another PM in the room then said he thought it wasn’t a big deal and sent her a copy of his right there in the meeting!”

“Wow, that’s not good at all, he really shouldn’t have done that!” said Samir. “What are you going to do?”

“I think I need to say something to someone about it, but I’m not sure who. Clearly, he doesn’t care that it’s a Code violation, so there’s no point in talking about it with him, but it would be wrong to just look the other way, right?”

“Absolutely!” exclaimed Samir. “I think you need to report this to PMI. Let’s check the website to see what to do.”

Lisa got out her phone and went to pmi.org. In the search bar, she entered “Ethics” and then scrolled down among the choices. Six or seven entries down, she clicked on “Ethics Complaints” where she found two links that looked helpful. For guidance on how to handle the situation, she saw that she could send an email to [email protected]. If she was pretty sure that further action was needed, then she could click the link to “File an Ethics Complaint.”

“This is great, thanks for the help!” said Lisa excitedly. “I can get some advice, and now I know where to go to report it if I decide that’s what I should do.”

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How about you? Have you ever observed unethical behavior by another PM? What did you decide to do, and why? Would your reaction be different depending on the severity of the ethical breach? Would you have had any different advice for Lisa? Comments and feedback welcome!

Posted by Bryan Shelby on: March 21, 2024 01:58 PM | Permalink | Comments (12)
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