الذكاء الاصطناعي وبناء السلم

The document examines how AI can support peacebuilding through early warning systems, digital dialogue, and humanitarian mapping, while warning against risks such as digital surveillance, algorithmic bias, and the amplification of polarization. It argues that AI should be a complementary tool to human diplomacy, requiring governance rooted in human rights and community participation to avoid exacerbating instability.

• AI tools are increasingly used to predict violence, with machine learning models identifying indicators like hate speech trends and unusual troop movements to predict conflicts with up to 95% accuracy in the short term. However, these models are prone to error and bias, particularly in data-scarce environments, meaning false positives can lead to unnecessary interventions and false negatives can endanger lives.
• AI-powered platforms such as 'Remesh' and 'Talk to the City' enable large-scale civic engagement in conflict-affected areas by analyzing public input and amplifying marginalized voices. These tools have been used by the UN and peacebuilding organizations in Libya, Syria, and Yemen to host inclusive, multilingual consultations.
• In humanitarian response, AI facilitates real-time mapping of conflict zones and disaster damage, with some systems reducing damage analysis times sixfold. However, these technologies pose severe risks if used without oversight, as geospatial data has been used to target civilians or suppress opposition.
• While social media business models often reward anger and polarization, AI can be redesigned to foster constructive online spaces. Tools like the Perspective API and Phoenix allow peacebuilders to prioritize thoughtful comments and personal narratives over provocation, potentially rebuilding social cohesion in divided communities.
• Effective peacebuilding requires AI governance based on human rights and participatory principles, including community consultation and transparency in training data. Without such safeguards, AI can facilitate predictive policing, algorithmic discrimination, and the creation of false facts via generative models.

APA

International Panel on the Information Environment (2025). الذكاء الاصطناعي وبناء السلم. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee52ced15fc459f77409_Final%20AR%20AIPB%20SFP.pdf

Chicago

International Panel on the Information Environment. الذكاء الاصطناعي وبناء السلم. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee52ced15fc459f77409_Final%20AR%20AIPB%20SFP.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=الذكاء الاصطناعي وبناء السلم |date=2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee52ced15fc459f77409_Final%20AR%20AIPB%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2025, author = {{International Panel on the Information Environment}}, title = {{الذكاء الاصطناعي وبناء السلم}}, institution = {International Panel on the Information Environment}, year = {2025}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee52ced15fc459f77409_Final%20AR%20AIPB%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }