Published in the Geneva Forum Proceedings, Volume 1, 2025 Edition.
By Dr. Rhianna C. Rogers
Generative AI has transformative potential in addressing systemic inequities within conflict mediation. This essay offers a draft policy and practice framework to harness generative Artificial Intelligence (AI) for equitable and autonomous conflict resolution. Rooted in equity-centered design, transparency, and collaboration, this framework addresses access, capacity-building, and ethical AI deployment challenges. By integrating AI tools with public policy insights, digital equity principles, and deliberative conversations, the proposed strategies aim to empower underserved communities in high-stress environments. Key pillars of the framework include ensuring access to AI-powered mediation tools, fostering skill-building through interactive platforms, and promoting cross-sector collaboration to address systemic inequities. This framework provides a roadmap for scaling AI-driven solutions while safeguarding fairness, accountability, and user empowerment, thus advancing equity in technology practices.
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Authorship:
Dr. Rhianna C. Rogers, Co-Founder of [Sustainable Progress and Equality Collective->https://specollective.org/]
Introduction
Conflict mediation is vital for fostering social cohesion, yet many underserved and high-stress communities face limited access to adequate resources. The advent of generative AI offers innovative possibilities for bridging these gaps, but without intentional equity-centered design and ethical safeguards, these technologies may exacerbate systemic biases (RAND, 2023). This paper proposes a conceptual framework for leveraging generative AI in conflict mediation, focusing on four critical dimensions: access and inclusion, education and capacity building, ethical AI deployment, and cross-sector collaboration. These dimensions ensure that generative AI is an inclusive and ethical conflict resolution tool.
Hypothesis/Model Development
The core hypothesis driving this framework is that generative AI, designed with equ
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