The ELN’s Ok, Doomer! podcast is back. Listen in to learn how emerging technologies are reshaping nuclear weapons policy. Experts discuss the risks and benefits of artificial intelligence and other disruptive technologies, historical technological shifts, changing threat perceptions, and the importance of training military personnel to recognise AI-driven biases. Hosted by the ELN’s Deputy Executive Director, Bekki Field.
AI is transforming the nuclear risk landscape faster than governance can adapt. ELN Policy Fellow Nikita Gryazin argues that the recently signed Rome Declaration should mark the beginning, not the end, of efforts to strengthen nuclear risk reduction. Doing so would help preserve meaningful human control, extend decision time, and update crisis management for the AI era.
Drawing on parallels with the Manhattan Project, the ELN’s Oliver Meier argues that AI companies cannot be relied upon to govern the risks their technology creates. Examining Anthropic co-founder Chris Olah’s response to Pope Leo’s encyclical, he contends that meaningful safeguards will require governments and international institutions to impose robust regulation.
Assessing risk is a vast and growing field, made ever more complex and expansive by the introduction of technology, especially AI. Tinatin Japaridze, YGLN member and Director of Geopolitics at Anadyr Horizon joins ELN Senior Associate Fellow Ilana Bet-El to analyse how the ever-changing nature of global affairs intersects with emerging technologies to transform our conceptions of risk.
AI-enabled warfare is giving the United States unprecedented tactical reach while eroding strategic restraint, writes Erasmus University Rotterdam Professor Michal Onderco. From the Caracas raid to strikes in Iran, reduced risks enable operations with minimal casualties. That ease lowers the bar for war, leaving allies exposed to miscalculation and dependence on a partner willing to act without planning the aftermath.
This report by Ganna Pogrebna and ELN Senior Policy Fellow Rishi Paul presents findings from an ELN workshop that examined the ‘human’ and ‘machine’ components of bias and their points of interaction. The report highlights how human judgment and AI systems can interact in ways that reinforce, rather than reduce, risk.