

Episode 229 – Reimagining Leadership: Human Wisdom and Machine Intelligence
Jul 14, 2025
Rich Maltzman, a project management expert and master lecturer at Boston University, shares insights on the evolving role of leadership in an AI-driven landscape. He promotes a collaborative "both/and" approach, harmonizing human judgment with machine intelligence. Maltzman discusses the ethical implications and biases in AI decision-making, the innovations in projects like the Narendra Modi Stadium, and practical AI applications in education. He urges project managers to embrace AI's potential while being cautious of its limitations and inaccuracies.
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Both-And Leadership Mindset
- Effective leadership means designing collaboration between human judgment and AI, not choosing one over the other.
- Both human insight and AI's speed and scale are necessary to address complex modern problems.
Use Acting-As Prompts with AI
- Use AI with specific roles or perspectives by telling it to "act as" an expert relevant to your task.
- Ask AI to critique its own outputs for improved accuracy and insight.
Wind Farm Community Example
- A wind farm used AI to optimize turbine placement by wind but overlooked local human factors like noise and view.
- They corrected this by involving the community and treating AI as a tool, not a decision-maker.