Leadership for advanced Artificial Intelligence (AI) and Machine Learning (ML) projects requires a unique blend of technical fluency, ethical stewardship, organizational influence, and research‑oriented management. Unlike traditional software development, AI/ML initiatives operate under high uncertainty, data dependency, and socio‑technical complexity. This article synthesizes contemporary perspectives on AI leadership, compares contrasting views in the literature, and proposes an integrated leadership framework. The discussion highlights responsible AI, cross‑functional collaboration, and experimentation culture as central pillars. The article concludes with recommendations for future leadership development and organizational readiness.
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