How to AI- Twin the Entire World and Is It Good or Bad

In this illuminating session from the Artificial Unintelligence Conference, Dr. Hala Nelson — mathematician, author, and co-founder of a digital twin company — explores how AI-powered digital twins are transforming how organizations understand and improve themselves.

Drawing from her experience across academia, industry, and government, Dr. Nelson explains how digital twins serve as living, learning systems that mirror real-world organizations — modeling operations, predicting outcomes, and uncovering hidden interdependencies. She emphasizes that successful digital twins require not just advanced AI, but mathematical integrity, clean data foundations, and human insight to bridge the gap between aspiration and implementation.

Key ideas explored:
• How digital twins function as adaptive, evolving representations of real organizations
• The role of mathematics in ensuring trustworthy and interpretable AI models
• Why the true challenge lies in operationalizing data, not just visualizing it
• How digital twins act as “organizational mirrors,” revealing inefficiencies and opportunities
• Lessons learned from advising defense, space, and private-sector initiatives

This talk reframes digital twins as more than a technology trend — they’re a blueprint for evidence-based decision-making and organizational self-understanding in the age of AI.