Nuclear weapons have unique catastrophic effects. Reducing risks of their use is a key element of reducing existential risks. Our researchers and members study the intersections between nuclear weapons and emerging and disruptive technologies, as a contribution to nuclear risk reduction. Our research looks in particular at the growing complexity that the simultaneous emergence of multiple disruptive technologies introduces. We aim to provide guidance for decision makers on how they can maintain strategic stability and make progress towards arms control and disarmament under such circumstances. ELN experts also examine the question of whether other technologies could eventually present similarly catastrophic risks as nuclear weapons.
From 22 July – 2 August, diplomats and governments were in Geneva to assess and make recommendations for the full implementation of the Non-Proliferation Treaty, at the second Preparatory Committee of the 2026 Review Conference. The European Leadership Network was well represented. Several...
Listen to the fifth episode of the NEVER podcast – Ok, Doomer! In this episode, we explore artificial intelligence and its relationship with existential risk. Featuring an introduction to the topic, why we should be especially wary when integrating AI with nuclear weapons systems, the role of AI in arms control, how best to regulate AI on the global level and what international institutions are best placed to do so, as well as historical perspectives on technological change and its impact on our cultural understandings of existential risk.
Today, the European Union’s Artificial Intelligence Act comes into force. NEVER member and Digital Policy Consultant Julie Lübken argues that the EU’s AI Act, pre-dating similar efforts to regulate AI in the UK and the US, could lay the groundwork for global AI governance. She writes that the legislation should also mark the start of a discussion with other countries, such as China, for a worldwide effort, engaging with policymakers, businesses, and civil society, to better understand AI, harness its potential and mitigate risk.