From Reaction to Prevention: AI’s Role in Women, Peace and Security

Artificial intelligence is moving from the margins to the center of international security policy. Beyond autonomous systems and battlefield analytics, a growing discussion is examining whether AI can be deliberately aligned with the Women, Peace, and Security agenda to shift the focus from reacting to conflict and harm toward preventing them in the first place.

The WPS agenda, built around women’s participation, protection, and the prevention of conflict-related harm, has traditionally leaned on diplomacy, peacekeeping, and post-crisis reconstruction. AI offers a different lever: the capacity to detect patterns that human analysts may miss, and to do so early enough for preventive action.

The Prevention Pivot

Prevention is often the least visible pillar of WPS, yet it is the one where early action can save the most lives. AI systems can monitor open-source information, social media, and conflict data to surface early warning signs of instability, disinformation, harassment, or patterns of violence that frequently precede escalation.

• Flagging coordinated disinformation targeting women public figures or peacebuilders
• Detecting rising hate speech or gender-based harassment that can signal broader unrest
• Identifying localized violence patterns that may spread into larger conflict
• Supporting gender-sensitive analysis of conflict drivers and population movements

These applications remain contingent on quality data and careful model design. They also raise a governance question: AI can support WPS goals only if it is designed and deployed responsibly, with attention to bias, safety, transparency, and accountability.

Governance Before Deployment

The same systems that could flag early warning signs can also harm the communities they are meant to protect. Women and marginalized groups are disproportionately exposed to surveillance, automated profiling, and harmful algorithmic decisions. A predictive model trained on biased historical data can reproduce discriminatory policing, misclassify protected speech, or direct security resources in ways that reinforce existing power imbalances.

This is why prevention-oriented AI cannot be a standalone technical fix. Any operational use would need to be embedded in existing peace and security institutions, anchored in gender analysis, and informed by local context. International standards such as the OECD AI Principles offer a baseline for responsible AI governance, while the United Nations Security Council Resolution 1325 framework provides the normative foundation for WPS commitments.

Prevention is not simply a technical problem; it is a governance problem that requires institutions, accountability, and gender expertise.

Risks and Tensions

There is an unavoidable tension between AI’s promise and its risks. Surveillance technology can be turned against women human rights defenders. Automated content moderation may silence legitimate political expression. Predictive conflict models built without local gender knowledge can misread social dynamics and produce false confidence in early warning systems.

For conflict-affected communities, especially women and girls, the line between protective monitoring and invasive surveillance is thin. Responsible deployment would require civil society participation, transparent data practices, and accessible mechanisms to challenge automated decisions. Without these, AI could deepen the very vulnerabilities that the WPS agenda seeks to reduce.

A Strategic Policy Shift

The broader significance is that AI is being positioned as a strategic policy tool in international security debates, not just a technology issue. Governments, UN agencies such as UN Women, and civil society gender advocates are increasingly asking how data-driven tools can support prevention without sacrificing rights. The answer lies in institutional design: clear mandates, gender-disaggregated data, ongoing model evaluation, and accountability for harms.

Aligning AI with the prevention pillar of WPS would not replace human judgment or political will. It would augment them—if, and only if, the technology is governed as carefully as the peace and security decisions it is meant to inform.