Adaptive AI–Human Mode Navigation

This unit teaches students to identify, shift among, and manage AI–human operating modes (Human‑First, Fusion, AI‑First, Marginal) in HR contexts, emphasizing human agency, algorithmic recalibration, and the strategic role of data. Lessons focus on practical transition planning, ethical safeguards, and treating data as a shared organizational currency to prepare learners for implementation and governance in the final unit.

Learning Objectives

• Analyze organizational scenarios to select the appropriate operating mode (Human‑First, Fusion, AI‑First, Marginal) and justify mode transitions using risk, value, ethical, and stakeholder impact criteria
• Apply humanistic reinforcement techniques to design HR processes that preserve human agency and integrate algorithmic recalibration checkpoints for responsible AI use
• Demonstrate the ability to interpret workforce data as a strategic asset by producing data‑informed recommendations and basic data governance principles for HR decision making
• Evaluate mode‑transition plans by developing measurable monitoring metrics, mitigation strategies, and compliance considerations for legal, ethical, and operational outcomes