activity
20232026
most citedLevels of AGI for Operationalizing Progress on the Path to AGI

53 citations · 56 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

From cacophony to hierarchy: a principled framework for assessing AI consciousness

Shamil Chandaria, Arvo Muñoz Morán, Fernando Rosas +11

The question of AI consciousness is one of the most urgent pre-emptive problems in philosophy and computer science, yet progress is hampered by a cacophony of competing theories th…

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

Measuring Progress Toward AGI: A Cognitive Framework

Ryan Burnell, Yumeya Yamamori, Orhan Firat +10

Despite widespread discussion of AGI, there is no clear framework for measuring progress toward it. This ambiguity fuels subjective claims, makes it difficult to track progress, an…

cs.AI2025★ 2 cited

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38

AI systems that "think" in human language offer a unique opportunity for AI safety: we can monitor their chains of thought (CoT) for the intent to misbehave. Like all other known A…

cs.AI2025★ 1 cited

An Approach to Technical AGI Safety and Security

Rohin Shah, Alex Irpan, Alexander Matt Turner +27

Artificial General Intelligence (AGI) promises transformative benefits but also presents significant risks. We develop an approach to address the risk of harms consequential enough…

cs.AI2023★ 53 cited

Levels of AGI for Operationalizing Progress on the Path to AGI

Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel +5

We propose a framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models and their precursors. This framework introduces levels of AGI p…