AI, Critical Thinking, and the Future of Scientific Leadership

As AI systems increasingly participate in research, analysis, and decision-making, organizations face a growing cognitive blind spot: the illusion of understanding without genuine comprehension.

This keynote addresses how algorithmic assistance can both enhance and undermine critical thinking, creativity, and scientific integrity. From a neurophysiological perspective, the talk explores how human cognition adapts when reasoning is partially delegated to machines, and what this implies for leadership, accountability, and organizational culture.

The challenge is not technological adoption but preserving epistemic discipline and methodological clarity. AI’s transformative potential depends on leaders recognizing that judgment, responsibility, and reflective thinking remain fundamentally human obligations.

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