most citedIntelligent AI Delegation

6 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Agentic Economies for Autonomous Scientific Discovery

Nenad Tomasev, Matija Franklin, Atoosa Kasirzadeh +4

Recent advances in agentic Artificial Intelligence (AI) systems have marked a shift in AI for Science: moving away from the use of individual AI systems for narrow task execution,…

cs.CY2026

AI Value Alignment for Evolving Social Norms

Nenad Tomašev, Matija Franklin, Simon Osindero

AI alignment is essential for the safe deployment of advanced AI systems. Given that values and preferences change over time, culture, social roles, and context, we need to develop…

cs.AI2026

From AGI to ASI

Tim Genewein, Matija Franklin, Alexander Lerchner +11

Over the last decade, building human-level artificial general intelligence has moved from far-fetched speculation to being a concrete next-decade target for many of the largest AI…

cs.AI2026★ 6 cited

Intelligent AI Delegation

Nenad Tomašev, Matija Franklin, Simon Osindero

AI agents are able to tackle increasingly complex tasks. To achieve more ambitious goals, AI agents need to be able to meaningfully decompose problems into manageable sub-component…

cs.AI2025

Distributional AGI Safety

Nenad Tomašev, Matija Franklin, Julian Jacobs +2

AI safety and alignment research has predominantly been focused on methods for safeguarding individual AI systems, resting on the assumption of an eventual emergence of a monolithi…

cs.CR2025

Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation

Stuart Armstrong, Matija Franklin, Connor Stevens +1

Recent work showed Best-of-N (BoN) jailbreaking using repeated use of random augmentations (such as capitalization, punctuation, etc) is effective against all major large language…