Memory and Forgetting: How Societies Decide Which Past to Carry Forward
Societies curate their past through selective remembrance, embedding certain events into collective consciousness while omitting or distorting others.
Intelligent systems in war and peacebuilding: early warning, machine-mediated reconciliation, autonomous weapons, and AI's role in societies rebuilding after conflict.
Societies curate their past through selective remembrance, embedding certain events into collective consciousness while omitting or distorting others.
The rise of intelligent systems has transformed how decisions are made in complex environments, often amplifying existing power dynamics and introducing new sources of conflict.
Machine-mediated reconciliation refers to the application of artificial intelligence to support individuals or groups in resolving conflicts by fostering structured, meaningful dialogue.
The deployment of autonomous weapon systems in conflict zones has introduced profound challenges to the traditional frameworks of accountability and legal compliance.
A peace agreement is a formalized commitment between conflicting parties to resolve disputes and establish conditions for coexistence.
The history of gun violence in the United States reveals a pattern of escalating incidents that have shaped societal norms and institutional responses over decades.
PeaceTech refers to the use of technology to promote peace, prevent conflict, and foster cooperation among individuals, communities, and nations.
Narrative warfare represents a strategic approach to influencing public perception and behavior through the deliberate use of storytelling techniques, framing strategies, and contextual manipulation.
AI agents, algorithmic amplification, and influencer marketing are converging into a new influence pipeline, reshaping how narratives are crafted, spread, and weaponized in the digital age.
Generative AI is transforming warfare, from battlefield targeting and intelligence analysis to the information campaigns that shape how conflicts are seen and understood.
Machine learning models trained on economic, political, and social data can detect early warning signs of conflict, offering a path from reactive crisis management to proactive prevention.
PeaceTech applies technology to address the root causes of violence and foster sustainable peace, raising urgent questions about whose values are coded into the tools of reconciliation.