VIDEO / SUMMARY 28 SEP 2026: Royal Society – Safe, secure and robust AI for safety-critical systems

Dark, star-filled space background with a bright comet streaking across the upper right. The Royal Society logo appears in a red square at upper left. A large light-gray panel across the center displays the title “Safe, secure and robust AI for safety-critical systems” in bold black text, with the date 28 September 2026 at lower left.

Dark, star-filled space background with a bright comet streaking across the upper right. The Royal Society logo appears in a red square at upper left. A large light-gray panel across the center displays the title “Safe, secure and robust AI for safety-critical systems” in bold black text, with the date 28 September 2026 at lower lef.
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On 28 September 2026, at  Royal Society Publishing hosted ‘Safe, secure and robust AI for safety-critical systems‘, a virtual seminar in its ‘Behind the paper with Royal Society journals‘ series.

Authors presented work from the theme issue ‘Safe, secure and robust AI for safety-critical systems‘ in Philosophical Transactions of the Royal Society A, compiled and edited by Ajitha Rajan and Desmond J. Higham. The talks asked whether AI can safely be deployed in safety-critical systems and whether AI systems can be secure, and examine prompt engineering as a way to mitigate medical bias in large language models.

SPEAKERS
Tamara G. Kolda – MathSci.ai: ‘Is it safe to deploy AI in safety-critical systems?’
Desmond Higham – University of Edinburgh: ‘Can AI systems be secure?’
Ying Xiao – King’s College London: ‘Mitigating medical bias in large language models by prompt engineering: an empirical study of effectiveness and trade-offs’

CHAIR
Ajitha Rajan – University of Edinburgh

#AISafety #AI #LLMs #PhilTransA

Jan 20 2026 – Entering a New Era of Human Civilization: A Discussion with Craig Mundie and Tom Friedman

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On January 20 2026, Stanford Institute for Human-Centered Artificial Intelligence, Freeman Spogli Institute for International Studies, Stanford Data Science, and the Starling Lab for Data Integrity, hosted “Entering a New Era of Human Civilization: A Discussion with Craig Mundie and Tom Friedman”

As AI continues its unprecedented transformation of our world, Craig and Tom discussed their 25-year friendship and the recent trends that led them to conclude, in a recent op-ed, that we’ve entered a new era of human civilization.

What do we call this new era? What will the impact be on our daily lives, and our geopolitics? Craig and Tom tackled these questions by discussing a new technical and normative framework to establish trust in AI systems. This work emerged from conversations with leaders across the U.S., Europe, and China, and has now arrived at Stanford as part of a new multi-department Stanford initiative researching AI trust frameworks.

INTRODUCTIONS
Russell Wald – Executive Director of the Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI)
Colin Kahl – Director, Freeman Spogli Institute for International Studies

SPEAKERS
Thomas Friedman – Journalist / author (NY Times)
Craig Mundie – Technologist (ex-Microsoft)
Moderator: John Hennessy – Stanford School of Engineering

#AISafety #AISecurity @StanfordHAI @FSIStanford @tomfriedman