Event
NEVER: June meeting
In June NEVER members gathered for a discussion of internal logistical matters in relation to running the network.
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Event
NEVER: AI Roundtable
NEVER members gathered for a roundtable discussion of AI and its role in aggravating existential risks.
Event
New European Voices on Existential Risk (NEVER): Inaugural meeting
In May, the ELN’s New European Voices on Existential Risk (NEVER) network convened for the first time for a discussion of existential risk, how policymakers should react to it, and why diverse voices matter in the existential risk space.
Commentary
Could establishing Open Source Intelligence (OSINT) systems for nuclear security in the EU improve existential risk resilience?
Nicholas Moulios, from the ELN’s New European Voices on Existential Risk (NEVER) Network, has written the ELN’s first commentary as part of this project. He explores the capabilities of OSINT systems for assessing and mitigating potential nuclear disasters, and how these emerging technologies can be harnessed to improve existential risk resilience in Europe and beyond.
Commentary
Strengthening the nuclear order: Pragmatic internationalism amid Russia’s war against Ukraine
Russia’s war against Ukraine has exposed critical flaws in the international nuclear realm. Valeriia Hesse writes that to prevent the total erosion of the non-proliferation norm, a realistic and pragmatic approach towards gradual nuclear arms reductions must be pursued. Ahead of the NPT PrepCom, she outlines concrete steps that the international community can take to build a stronger and more resilient nuclear order.
Commentary
To avoid nuclear instability, a moratorium on integrating AI into nuclear decision-making is urgently needed: The NPT PrepCom can serve as a springboard
The integration of neural networks into NC3 poses a multitude of risks to global security. Alice Saltini writes that to pave the way for a moratorium, NPT State Parties should use the PrepCom to focus discussions on understanding the risks associated with integrating deep learning models into nuclear decision-making.