Quantum Ethical Uncertainty and Dharma-Driven AI

Artificial intelligence is increasingly applied in high-stakes areas such as climate policy, health resource allocation, and conflict resolution. The use of quantum computing introduces new opportunities and new risks, since larger solution spaces can generate both innovative possibilities and hidden ethical trade-offs. This paper presents a framework that integrates Vedic ethical principles, specifically Ṛta (cosmic order), Dharma (context-sensitive duty), and Ahimsa (non-harm), with quantum-enhanced AI to guide complex policy decisions. We introduce the Quantum Ethical Uncertainty (QEU) metric, defined as QEU = -∑pᵢ log pᵢ, which measures ethical ambiguity in quantum-AI decision spaces. The framework also develops entangled ethics models inspired by Indra’s Net, quantum compassion algorithms for proactive harm analysis, and quantum karma simulations as a metaphorical tool for exploring long-term consequences. In early hybrid simulations of climate adaptation and conflict resolution, the quantum-AI approach generated a wider range of policy options and offered improvements in balancing competing objectives. At the same time, many of the most effective solutions revealed ethical risks that were highlighted by the QEU metric but not captured by conventional assessments. The case studies showed that Vedic principles provided useful guidance for navigating trade-offs and supported the identification of options with stronger long-term stability and cultural sensitivity. These findings suggest that combining quantum-enhanced AI with culturally grounded ethics can help improve fairness and resilience in policy contexts, while also underscoring the importance of cautious interpretation, further empirical testing, and adaptation to different cultural settings.