Advancing Nuclear Fail-Safe in the Asia-Pacific
APLN has worked with partners in the Asia-Pacific, Europe, and the United States to highlight the benefits of independent, internal “fail-safe” reviews in nuclear-armed states. Fail-safe reviews are aimed at strengthening safeguards to prevent unauthorized, inadvertent, or mistaken use of a nuclear weapon, including through false warning of an attack. These reviews would be effective unilateral nuclear risk-reduction steps, not requiring any negotiation, treaty, or verification.
- ADVANCING NUCLEAR FAIL-SAFE IN THE ASIA-PACIFIC
Global Nuclear Fail-Safe: Meeting Summaries and Related Documents
APLN advances the global conversation on unilateral measures for reducing nuclear risk, together with partners in the Asia-Pacific, Europe, and the United States.
ADVANCING NUCLEAR FAIL-SAFE IN THE ASIA-PACIFICA Proposed Indian Nuclear Risk Reduction Mechanism
Sanjay Mahindru examines the necessity and possible shape of a Nuclear Risk Reduction Review mechanism in the context of India’s nuclear weapons ecosystem.
ADVANCING NUCLEAR FAIL-SAFE IN THE ASIA-PACIFICFailsafe Reviews: A Veritable CBM in the Age of Emerging Technologies
Syed Ali Zia Jaffery argues that conducting failsafe reviews could serve as a practical risk reduction measure by strengthening resilience against emerging technologies and increasing transparency.
ADVANCING NUCLEAR FAIL-SAFE IN THE ASIA-PACIFICGroup Statement: Supporting Nuclear Fail-safe
75 senior figures from across the globe call on all nuclear-armed states to strengthen safeguards against the accidental, mistaken, or unauthorised use of nuclear weapons.
ADVANCING NUCLEAR FAIL-SAFE IN THE ASIA-PACIFICExistential Need for Reducing US-China Nuclear Tensions
Frank O’Donnell emphasises the urgent need to reduce U.S.-China nuclear tensions and proposes unilateral fail-safe reviews as a practical interim measure to mitigate accidental risks.
ADVANCING NUCLEAR FAIL-SAFE IN THE ASIA-PACIFICIntegration of Artificial Intelligence in Nuclear Systems and Escalation Risks
Sameer Patil and Rahul Rawat review the escalation risks arising from the integration of Artificial Intelligence in nuclear systems and offer recommendations on how to mitigate these risks.