Alignment with DF goals (BGI, Platform growth, community)

This track is in strong alignment with DeepFunding, SingularityNET, and Beneficial General Intelligence by advancing ethical AI practices and decentralized governance models. It embodies the AI for Peace philosophy by ensuring that security, privacy, and transparency are integral to its design, fostering a trustworthy environment where peacebuilding technologies can thrive sustainably and equitably.

Problem description

The collection and analysis of sensitive data for AI-based conflict resolution raise significant ethical and privacy concerns. Without stringent data protection measures, there is a risk of misuse, breaches, or unauthorized surveillance, which can erode trust and potentially escalate tensions. The absence of robust, transparent data governance undermines both the efficacy and ethical foundation of peacebuilding technologies.

Proposed Solutions

Implement an AI framework that integrates state-of-the-art privacy-preserving technologies—like federated learning, differential privacy, and blockchain for auditability—to secure sensitive data while maintaining functionality. Develop clear, transparent consent protocols and user-accessible audit trails that ensure accountability. This ethical data governance model will form the backbone of peace support systems, safeguarding user trust and upholding human rights throughout conflict resolution