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As AI becomes increasingly integrated into the digital built environment, Dr. Komeilipoor explores why AI alone is not enough for government and critical infrastructure applications. Reliable outcomes require combining artificial intelligence with trusted data, verification, computer vision, and knowledge representation because trustworthy decisions begin with trustworthy information. Drawing on Findora AI’s neuroscience-inspired approach to trusted AI, the session demonstrates how transparent, source-backed AI can improve confidence in decision-making across engineering documents, GIS, BIM, digital twins, and other structured and unstructured enterprise data.
Dr. Naeem Komeilipoor is a Canadian neuroscientist, entrepreneur, and AI innovator working on trusted and human-centered artificial intelligence systems. He is the Founder and CEO of Findora AI, a company developing AI trust, verification, and sovereign intelligence infrastructure for enterprise, government, and highly sensitive environments.
Combining expertise across neuroscience, engineering, artificial intelligence, and human-AI interaction, his work focuses on building intelligent systems that are reliable, transparent, and trustworthy in real-world environments. He is particularly interested in the responsible deployment of AI across enterprise, public sector, and mission-critical systems, while advancing accessibility and human-centered technology.
As AI becomes increasingly integrated into the digital built environment, Dr. Komeilipoor explores why AI alone is not enough for government and critical infrastructure applications. Reliable outcomes require combining artificial intelligence with trusted data, verification, computer vision, and knowledge representation because trustworthy decisions begin with trustworthy information. Drawing on Findora AI’s neuroscience-inspired approach to trusted AI, the session demonstrates how transparent, source-backed AI can improve confidence in decision-making across engineering documents, GIS, BIM, digital twins, and other structured and unstructured enterprise data.
