AI POWERED PROTECTION

Early

Warning System

AI-augmented platform embedded within CCMG election observation to detect, verify and prevent election-related conflict.

AI Early Warning
WHY IT MATTERS

Preventing Electoral Violence

The AI-augmented Early Warning System (EWS) will be embedded within the CCMG election observation framework to detect, verify and mitigate emerging election risks linked to misinformation, intimidation and contested results.

Verified alerts will be routed to ECZ, Zambia Police and observer networks to enable rapid response and prevent escalation into violence.

SYSTEM FLOW

How It Works

From data to decision in real time

01
Inputs

Observers, hotlines, crowd-sourced reports, social and local media feeds.

02
Central Processing

Data cleaning, normalization, geolocation and initial severity grading.

03
AI Layer

Automated data mining, NLP, rumor detection and risk scoring.

04
Human Verification

Analysts validate incidents, attach evidence and assign final ratings.

05
Tiered Alerts

Alerts and mitigation guidance sent to ECZ, police and partners.

WHAT WE BUILD

Key Activities

System Architecture

Cloud infrastructure & system design.

AI Models

Multi-language NLP & risk scoring.

Human Validation

Analyst verification workflows.

Security

Privacy, safeguards & QA systems.

DELIVERABLES

Key Outputs

EWS Platform

Fully operational alert system.

Security Framework

Privacy & protection protocols.

Documentation

User manuals & impact reports.