Искусственный интеллект для миростроительства
Summary
The document examines the dual-use nature of AI in conflict zones, highlighting its potential to improve early warning systems, scale digital dialogue, and accelerate humanitarian mapping, while warning against risks of surveillance, misinformation, and algorithmic bias. It argues that AI should complement rather than replace human diplomacy and must be governed by human rights principles and local community engagement.
Key insights
- AI tools such as the Violence Early Warning System (ViEWS) and Armed Conflict Location & Event Data (ACLED) can predict short-term conflict with up to 95% accuracy by identifying precursors like hate speech trends and troop movements. However, these models are prone to errors and bias in data-poor environments, meaning false positives can lead to unnecessary interventions and false negatives can endanger lives.
- AI platforms like Remesh and Talk to the City are being used by the UN and other organizations in Libya, Syria, and Yemen to facilitate inclusive, multilingual digital consultations that amplify marginalized voices and scale peace dialogues beyond traditional forums.
- In humanitarian response, AI initiatives such as Data Insights for Social & Humanitarian Action (DISHA) use drone footage and satellite imagery to map conflict zones and disaster damage, reducing analysis time by sixfold in pilot studies. Despite this, these tools risk being misused for surveillance or the persecution of civilians.
- While social media business models often prioritize polarizing content, AI can be redesigned for pro-social outcomes. Tools like Perspective API and Phoenix are being used to prioritize thoughtful commentary and enable peacebuilders to monitor social networks to foster empathy and social cohesion.
- Responsible AI governance in conflict zones is critical because weak regulatory systems can lead to algorithmic discrimination, predictive policing, and surveillance. Generative models also pose risks through 'hallucinations' or factual distortions that can impact human lives.
Cite the original document
- APA
- International Panel on the Information Environment (2025). Искусственный интеллект для миростроительства. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4c8006a4b202e22367_Final%20RU%20AIPB%20SFP.pdf
- Chicago
- International Panel on the Information Environment. Искусственный интеллект для миростроительства. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4c8006a4b202e22367_Final%20RU%20AIPB%20SFP.pdf.
- Wikipedia
- {{cite report |author=International Panel on the Information Environment |title=Искусственный интеллект для миростроительства |date=2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4c8006a4b202e22367_Final%20RU%20AIPB%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{internationalpanelontheinformationenvironment2025, author = {{International Panel on the Information Environment}}, title = {{Искусственный интеллект для миростроительства}}, institution = {International Panel on the Information Environment}, year = {2025}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4c8006a4b202e22367_Final%20RU%20AIPB%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
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