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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 equity and ethics at its core, can democratize access to conflict mediation resources and enhance their effectiveness for underserved populations. By addressing structural barriers and embedding accountability mechanisms, the proposed model aims to create an inclusive, scalable system for conflict resolution.
Argumentation
1. Access and Inclusion Access to affordable and effective mediation tools is critical for equitable conflict resolution. Underserved communities often face barriers such as limited internet connectivity, lack of multilingual resources, and financial constraints (Rogers et al., 2023). The framework proposes strategies to address these challenges, including:
• Subsidizing AI-powered mediation platforms for low-income groups.
• Partnering with community organizations to enhance internet access and provide necessary hardware.
• Designing offline-capable, multilingual AI tools to improve global accessibility. Practical applications include mobile apps s
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