Inteligencia artificial para la consolidación de la paz Promesas y escollos

The document explores the dual-use nature of AI in conflict zones, highlighting its potential to improve early warning systems, inclusive dialogue, and humanitarian mapping, while warning against its use for surveillance, disinformation, and repression. It argues that for AI to effectively support peacebuilding, it must be governed by human rights principles, transparency, and local community participation.

• AI tools are increasingly used to predict violent outbreaks by identifying precursors such as hate speech trends and economic crises, with some machine learning models achieving 95% accuracy for short-term conflict forecasting. However, these tools are prone to errors and biases in data-poor environments, meaning they should complement rather than replace local technical expertise and participatory analysis.
• Digital dialogue platforms powered by AI, such as Remesh and Talk to the City, are expanding civic participation and amplifying marginalized voices in conflict-affected regions, including Libya, Syria, and Yemen. These tools can strengthen legitimacy if managed with digital education and security to avoid excluding vulnerable groups.
• AI accelerates humanitarian response through real-time mapping of conflict zones and disaster damage, with some pilot systems reducing damage analysis time sixfold. Despite these gains, geospatial data carries risks of misuse, such as being used to target civilians or repress dissent.
• While social media business models often prioritize polarizing content, AI can be redesigned to foster prosocial interaction. Tools like Perspective API and Phoenix are being used to prioritize reflective comments and monitor networks to support peacebuilding and social cohesion.
• Effective AI implementation in fragile conflict environments requires strict ethical and legal oversight to prevent algorithmic discrimination, surveillance, and the generation of false information. Governance should prioritize human rights, open documentation, and the development of small-scale models tailored to local contexts.

APA

International Panel on the Information Environment (2025). Inteligencia artificial para la consolidación de la paz Promesas y escollos. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4409132241ed306e4e_Final%20ES%20AIPB%20SFP.pdf

Chicago

International Panel on the Information Environment. Inteligencia artificial para la consolidación de la paz Promesas y escollos. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4409132241ed306e4e_Final%20ES%20AIPB%20SFP.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=Inteligencia artificial para la consolidación de la paz Promesas y escollos |date=2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4409132241ed306e4e_Final%20ES%20AIPB%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2025inteligencia, author = {{International Panel on the Information Environment}}, title = {{Inteligencia artificial para la consolidación de la paz Promesas y escollos}}, institution = {International Panel on the Information Environment}, year = {2025}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4409132241ed306e4e_Final%20ES%20AIPB%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }