April 2022

The Lean Six Sigma Professional Association (LSSPA) Committee convened in April 2022 to formally discuss the emerging impact of Artificial Intelligence (AI) on the Six Sigma Body of Knowledge (BoK). The session focused on how rapid advancements in data science, automation, and machine learning technologies may reshape professional competencies required of future Lean Six Sigma practitioners.

The Committee acknowledged that AI-driven analytics platforms are increasingly capable of automating statistical computation, pattern detection, and predictive modeling. As a result, certain manual calculation-based competencies and routine statistical execution tasks may gradually diminish in emphasis within practical deployment environments.

However, the discussion underscored that the foundational principles of Six Sigma — problem definition, critical thinking, experimental logic, root cause analysis, process understanding, and structured improvement methodology — will become even more essential in an AI-enabled landscape. While tools may evolve, disciplined thinking and data interpretation remain human-centered competencies.

The Committee further observed that future Six Sigma professionals will require strengthened capabilities in data governance, algorithm validation, ethical oversight of automated decision systems, and the integration of AI outputs into structured DMAIC frameworks.

LSSPA will continue to monitor technological developments and evaluate potential refinements to the Six Sigma Body of Knowledge to ensure alignment with evolving industry practice while preserving methodological rigor.

Lean Six Sigma Professional Association (LSSPA)
April 2022