AI-Driven Project Management

CHAPTER 6Navigating Ethical Challenges in PM-AI

The ethical implications of PM-AI are a significant concern in today's project-dominated world. AI may automate some specific project management tasks, but awareness of ethics must be pervasive. There needs to be multifaceted control throughout AI processes.

For instance, AI could suggest repositioning the project direction based on data received, which might replace employee roles. This could give rise to concerns about the confidentiality of the data and misuse of the decision making influence on ML, as it is not unthinkable to imagine that an AI-driven tool unconsciously absorbs biases from historical project data. For example, suppose prior projects headed by a certain gender or age category continually yielded positive outcomes. AI might develop a bias toward such demographics. Fairness within team dynamics, task assignments, and allocation of resources to particular team members is imperative, thus requiring even more focus on ethical considerations.

Addressing Inclusivity

According to a study by Prof. Antonio Nieto-Rodriguez (2023), “74.78 percent of experts express apprehension regarding potential ethical challenges arising from AI-based decision making processes.”

Fairness and bias are core issues related to the inclusivity of AI-driven project decisions. AI tools such as ChatGPT can be as biased as the data from which they were trained. Ethically, AI-driven decisions for projects should not discriminate against or favor ...