RAND Corporation (RAND) AI Actions

Document types

• policy paper 28
• agency report 13
• academic paper 8
• news analysis 1

Recent RAND activity

• policy paper 5/20/2026

  [RAND] Expert InsightsMay 20, 2026Building Resilience Against Artificial Intelligence–Enabled Biological Threats: Conference Proceedings from a RAND and Helena WorkshopThese conference proceedings summarize the outputs from a workshop in which participants developed broadly applicable mitigation strategies for possible threat scenarios at the intersection of artificial intelligence and biology.

  These conference proceedings summarize mitigation strategies developed by experts at a RAND and Helena workshop to build resilience against AI-enabled biological threats through technical, policy, operational, and organizational interventions.

• agency report 4/6/2026

  [RAND] ResearchApr 6, 2026Infinite Potential—Insights from the Viral Uplift Scenario: After-Action Report from a Sequence of Day After Artificial General Intelligence ExercisesIn this after-action report, the authors describe a series of exercises centered on the misuse of artificial intelligence models to generate novel biological threats and intended to elicit policy options that could help reduce the risks and impact.

  An after-action report by RAND Corporation detailing exercises on the misuse of AI models to generate novel biological threats, focusing on US national security preparedness.

• agency report 4/29/2026

  [RAND] Expert InsightsApr 29, 2026Exploring Instability Risks in the U.S.-China AI Rivalry: Breakwater Game Overview and Initial ObservationsThis paper presents an overview and observations on Breakwater, a game that explores instability risks in the U.S.-China rivalry and race to artificial general intelligence.

  This RAND paper outlines the 'Breakwater' game, which explores instability and conflict risks in the U.S.-China race for artificial general intelligence, aimed at informing policymakers.

• agency report 4/6/2026

  [RAND] ResearchApr 6, 2026Infinite Potential—Insights from the Viral Uplift Scenario: After-Action Report from a Sequence of Day After Artificial General Intelligence ExercisesIn this after-action report, the authors describe a series of exercises centered on the misuse of artificial intelligence models to generate novel biological threats and intended to elicit policy options that could help reduce the risks and impact.

  An after-action report detailing exercises on AI misuse for novel biological threats, identifying policy options for U.S. preparedness.

• agency report 4/13/2026

  [RAND] ResearchApr 13, 2026Infinite Potential—Insights from the Business and Civil Society Scenario: After-Action Report from a Sequence of Day After Artificial General Intelligence ExercisesThis report describes a series of exercises run with the Business and Civil Society scenario on the Infinite Potential platform. Players took on roles as business and civil society leaders and tackled challenges arising from artificial intelligence.

  This RAND report details insights from scenario exercises with business and civil society leaders on the challenges of Artificial General Intelligence, including economic disruption, labor displacement, and cyberattacks.

• policy paper 4/29/2026

  [RAND] Expert InsightsApr 29, 2026Exploring Instability Risks in the U.S.-China AI Rivalry: Breakwater Game Overview and Initial ObservationsThis paper presents an overview and observations on Breakwater, a game that explores instability risks in the U.S.-China rivalry and race to artificial general intelligence.

  This RAND paper presents an overview and initial observations on Breakwater, a game exploring instability risks in the U.S.-China AI rivalry and the race to artificial general intelligence.

• policy paper

  [RAND] Expert InsightsApr 27, 2026The AGI Rideout Strategy for Reducing Strategic Risk and Promoting Stability in the Transition to Artificial General IntelligenceThe authors describe an artificial general intelligence (AGI) Rideout strategy to avoid geopolitical risks in the race toward and transition to AGI. The strategy prioritizes deterring conflicts and increasing U.S. tech infrastructure resilience.

  This RAND Expert Insights paper describes an AGI Rideout strategy to mitigate geopolitical risks and promote stability during the transition to artificial general intelligence.

• academic paper 3/25/2026

  [RAND] ResearchMar 25, 2026Internet Cutoff Switches as a Local Emergency Response for Damaging Artificial Intelligence IncidentsIn this report, the authors examine the implications of using a limited internet cutoff switch as a tool to mitigate the spread of a damaging artificial intelligence incident.

  Examines the viability and implications of using internet cutoff switches as a local emergency response to mitigate the spread of damaging AI incidents in data centers.

• news analysis 2/12/2026

  [RAND] CommentaryWhat to Expect from AI in 2026: Q&A with William MarcellinoFeb 12, 2026

  AI expert William Marcellino predicts 2026 will see major cybersecurity incidents and productivity gains due to AI agent adoption and a new protocol called MCP.

• policy paper 4/27/2026

  [RAND] Expert InsightsApr 27, 2026The AGI Rideout Strategy for Reducing Strategic Risk and Promoting Stability in the Transition to Artificial General IntelligenceThe authors describe an artificial general intelligence (AGI) Rideout strategy to avoid geopolitical risks in the race toward and transition to AGI. The strategy prioritizes deterring conflicts and increasing U.S. tech infrastructure resilience.

  The RAND Corporation proposes an AGI Rideout strategy for the U.S. to mitigate geopolitical risks and promote stability during the transition to artificial general intelligence by deterring conflict and enhancing tech resilience.

• policy paper 4/29/2026

  [RAND] Expert InsightsApr 29, 2026Exploring Instability Risks in the U.S.-China AI Rivalry: Breakwater Game Overview and Initial ObservationsThis paper presents an overview and observations on Breakwater, a game that explores instability risks in the U.S.-China rivalry and race to artificial general intelligence.

  This paper presents an overview of the Breakwater game, exploring instability risks in the U.S.-China AI rivalry and the race to artificial general intelligence.

• agency report

  [RAND] ResearchMar 25, 2026Internet Cutoff Switches as a Local Emergency Response for Damaging Artificial Intelligence IncidentsIn this report, the authors examine the implications of using a limited internet cutoff switch as a tool to mitigate the spread of a damaging artificial intelligence incident.

  This RAND report examines using limited internet cutoff switches as a local emergency response to mitigate damaging AI incidents, analyzing costs, viability, and policy implications.

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