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. 

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. 

 

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. 

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. 

 

• 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. 

 

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

• 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.

• 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. 

• 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. 

A recent Ethics Bistro blog (Yeung, 2024) titled “Upholding Ethics in Professional Development: Lessons from EY and Meta” raises fresh perspectives in the realm of professional development and continuing education (for project practitioners and other professionals) and the associated ethical issues in two named organizations, as elaborated in the Inc. magazine (Lynch, 2024).

A follow-up article by Benjamin Broomfield (2024) provided an alternate perspective from several EY employees, who were not involved in the cheating incident, on the alleged unethical behaviours with additional context and background.

Several former EY employees fired for completing multiple online training courses simultaneously during the "Ignite Learning Week" in May 2024 have criticized the company's decision, arguing that their behavior was not unethical. EY terminated dozens of employees after an investigation revealed they had attended different training sessions at the same time, which EY deemed as cheating the system. The employees contended that they were encouraged to attend as many sessions as possible and were not informed that multitasking was against company policy.

The training programs, which required employees to achieve 40 professional education credits annually, included sessions like 'Conversing with AI, one prompt at a time' and 'How strong is your digital brand in the marketplace?' EY's decision to fire the employees was based on a perceived violation of its code of conduct, emphasizing integrity and ethics.

EY has a history of educational cheating scandals, with a significant incident in 2022 where the company paid over $100 million to the US Securities and Exchange Commission for sharing answers during professional tests. This led to a pledge to enforce stricter disciplinary measures and emphasize compliance and integrity.

In response to the backlash, EY has revised its communication around future training sessions, clearly stating that employees are expected to complete their training with integrity and not multitask. The controversy also highlighted a broader issue within EY's work culture, characterized by high workloads and internal competition, which some employees claim encouraged multitasking. The company's approach to handling the disciplinary actions has faced criticism from current and former employees, who suggested alternative sanctions like reducing bonuses or delaying promotions.

In summary, this incident has brought renewed scrutiny to EY's intense work culture and raised questions about the effectiveness of its training and ethical standards already in place.

In closing, what is your view on the employees’ positions? And on the employer’s updated policies and procedures to remedy the unethical behaviours? What would you do to act ethically? I love to hear your perspective and exchange lessons learnt.

Sources:

PMI. (2024). PMI Code of Ethics and Professional Conduct. pmi.org. https://www.pmi.org/-/media/pmi/documents/public/pdf/ethics/pmi-code-of-ethics.pdf

Yeung, M. (2024, November 1). Upholding Ethics in Professional Development: Lessons from EY and Meta. Projectmanagement.com. https://www.projectmanagement.com/blog-post/77594/upholding-ethics-in-professional-development--lessons-from-ey-and-meta

Lynch, S. (2024, October 23). EY and Meta Fired Workers for Stretching the Rules: What Would You Do? Inc.com. https://www.inc.com/sarahlynch/ey-and-meta-fired-workers-for-stretching-the-rules-what-would-you-do/90993704

Benjamin, B. (2024, October 23). 'Just cruel' | Fired EY employees hit back after losing jobs for watching multiple training videos at once. Hrgrapevine.com. https://www.hrgrapevine.com/us/content/article/2024-10-23-fired-ey-employees-hit-back-after-losing-jobs-for-watching-multiple-training-videos-at-once.

“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!