Artificial intelligence (AI) has become an essential tool in project management, offering rapid, data-driven analysis to optimize resources and make decisions. However, like any technology, AI has limitations, especially when it comes to context, human judgment, and ethical values. This article explores how project managers can balance the use of AI with their own judgment and ethical responsibility.

The dilemma of relying on AI

A real-life case illustrates this challenge: an AI model recommended reallocating resources from a stable project to another project that was behind schedule. Although the data supported this decision, the project manager knew that the «stable» project depended on critical momentum that could not be interrupted. Ultimately, the AI recommendation was ignored, and resources were adjusted manually. The outcome was successful for both projects, demonstrating that AI cannot always capture context or human subtleties.

When to trust AI and when to intervene

AI is a powerful tool, but it is not infallible. Here are guidelines for deciding when to trust it and when to take control:

– Trust AI when:

– You need quick, unbiased analysis.

– The data is clear and the decisions are repetitive.

– You need to analyze trends in large volumes of data.

– Intervene when:

– Decisions affect human relationships or reputation.

– The model lacks key contextual information.

– Your experience and intuition suggest that something is not right.

The ethical role of the project manager

According to the PMI Code of Ethics, project managers must act with responsibility, respect, fairness, and honesty. Following AI recommendations without human oversight can compromise these values. AI should be seen as a guiding compass, not a map that dictates the path.

Lessons for ethical leadership in the digital age

1. Combine data with human judgment: Use AI to gain insights, but make decisions based on experience and values.

2. Create feedback loops: Integrate qualitative information into AI models to improve their accuracy and relevance.

3. Establish ethical frameworks: Ensure that AI-based decisions align with ethical principles and stakeholder expectations.

Conclusion: Responsible leadership in a data-driven world

AI is an invaluable tool, but it does not replace human judgment. Project managers must balance the efficiency of AI with their responsibility to make ethical and well-informed decisions. Ultimately, when things go wrong, the responsibility lies with leaders, not algorithms.

Continue your professional career

If you want to delve deeper into the integration of ethics and technology in project management, consider the Master’s Degree in Project Design, Management, and Leadership. This program will prepare you to lead projects in a digital environment, combining advanced tools such as AI with sound ethical principles.

Source:
Trust the Data – but Not Blindly: An Ethics Bistro on AI