The Alignment Gap: Why AI Fails without Human-Ready Decision Systems.

In this insightful session from the Artificial Unintelligence Conference, Deepika Chopra, Founder of AlphaU AI, explores one of the most pressing challenges in modern artificial intelligence — the alignment gap between how machines process data and how humans make decisions.

Chopra introduces the concept of Decision Intelligence, a powerful framework that blends data science, behavioral psychology, and systems thinking to help organizations make more transparent, explainable, and effective decisions. She argues that closing the alignment gap isn’t just a technical challenge — it’s a human one, requiring awareness of both algorithmic and cognitive bias.

Key ideas explored:
• Understanding and addressing the “alignment gap” between AI logic and human reasoning
• How Decision Intelligence integrates behavioral insights with data-driven models
• The dual challenge of human and machine bias in AI-powered decisions
• Why interpretability and transparency are essential for trust and adoption
• How to design AI that collaborates with, rather than replaces, human intelligence

This session reframes AI as a decision partner — one that amplifies human clarity, creativity, and accountability.