AI and global security : from early warning to AI-assisted diplomacy

dc.contributor.authorDE AGOSTINI, Leonardo
dc.contributor.authorGIOVANARDI, Michele
dc.date.accessioned2025-04-08T10:17:11Z
dc.date.available2025-04-08T10:17:11Z
dc.date.issued2025
dc.descriptionPublished online: 1 April 2025en
dc.description.abstractWithin the current shift towards a multipolar and uncertain world, where consensus building and shared solutions become more difficult to reach, AI-driven solutions can enhance peace and security efforts. There is an unexplored potential for AI-powered conflict prevention, early warning systems, and AI-assisted diplomacy. While AI has been widely debated for its disruptive potential, its positive applications in peacebuilding remain largely underexplored. With ongoing conflicts in Ukraine, the Middle East and Africa, the Group of Seven (G7) should harness the potential of AI-powered applications by building on existing G7 members’ efforts and investing in the sector. The G7 should invest in AI-powered early warning systems and conflict prevention strategies that could help bridging the “warning-response gap.” This includes enhancing data-sharing mechanisms, integrating AI tools into decision-making, and fostering collaboration between governments, the private sector and civil society.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/1814/78275
dc.language.isoenen
dc.orcid.uploadtrue*
dc.publisherCentre for International Governance Innovation (CIGI)en
dc.relation.ispartofseries[CIGI]en
dc.relation.ispartofseriesT7 Policy Briefen
dc.relation.ispartofseries2025en
dc.relation.ispartofseriesTF4 Global Peace and Securityen
dc.relation.urihttps://www.think7.org/publications/ai-and-global-security-from-early-warning-to-ai-assisted-diplomacy/en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleAI and global security : from early warning to AI-assisted diplomacyen
dc.typeOtheren
dspace.entity.typePublication
person.identifier.orcid0000-0001-6491-5371
person.identifier.other44126
relation.isAuthorOfPublicatione3f4f3f4-684d-43de-9ee3-c5f607a23da3
relation.isAuthorOfPublication.latestForDiscoverye3f4f3f4-684d-43de-9ee3-c5f607a23da3
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