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DeepMind's game theory research
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Google DeepMind
This is DeepMind's general publications listing page; current tags ('causal-model', 'corrigibility', 'shutdown-problem') and title ('game theory research') appear incorrect and should be updated to reflect the page's actual broad scope.
Metadata
Importance: 35/100homepage
Summary
This is DeepMind's public research publications index, listing recent papers across a wide range of AI topics including safety, capabilities, multimodal learning, and more. The page aggregates hundreds of publications but does not specifically focus on game theory or AI safety. Notable safety-relevant entries include work on imitation learning safety, AI personhood, and human-AI alignment.
Key Points
- •Broad publications index covering 240+ DeepMind research papers across diverse AI topics
- •Includes some AI safety-relevant work such as 'Imitation Learning is Probably Existentially Safe' and 'A Pragmatic View of AI Personhood'
- •Contains papers on human-AI alignment in collective reasoning and AI consciousness/simulation distinctions
- •Not specifically a game theory or safety-focused resource despite current metadata labels
- •Serves as a reference hub for DeepMind's public research output rather than a curated safety resource
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Corrigibility Failure Pathways | Analysis | 62.0 |
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# Publications
Explore a selection of our recent research on some of the most complex and interesting challenges in AI.
240 publications
- [23 April 2026\\
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Dynamic Reflections: Probing Video Representations with Text Alignment](https://deepmind.google/research/publications/193694/)
- [10 March 2026\\
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The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness](https://deepmind.google/research/publications/231971/)
- [15 February 2026\\
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Simplicity and Complexity in Combinatorial Optimization](https://deepmind.google/research/publications/225507/)
- [5 February 2026\\
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Hybrid neural–cognitive models reveal how memory shapes human reward learning](https://deepmind.google/research/publications/94006/)
- [9 January 2026\\
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TRecViT: A Recurrent Video Transformer](https://deepmind.google/research/publications/122591/)
- [21 November 2025\\
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Imitation Learning is Probably Existentially Safe](https://deepmind.google/research/publications/42697/)
- [4 November 2025\\
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To Mask or to Mirror: Human-AI Alignment in Collective Reasoning](https://deepmind.google/research/publications/180362/)
- [30 October 2025\\
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A Pragmatic View of AI Personhood](https://deepmind.google/research/publications/210560/)
- [29 September 2025\\
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AI-Generated Video Detection via Perceptual Straightening](https://deepmind.google/research/publications/160567/)
- [24 September 2025\\
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Video models are zero-shot learners and reasoners](https://deepmind.google/research/publications/203190/)
- [24 September 2025\\
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EmbeddingGemma: Powerful and Lightweight Text Representations](https://deepmind.google/research/publications/194199/)
- [4 September 2025\\
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Improving cosmological reach of LIGO usingDeep Loop Shaping](https://deepmind.google/research/publications/145314/)
- [3 September 2025\\
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RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning](https://deepmind.google/research/publications/111579/)
- [8 August 2025\\
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Properties of Algorithmic Information Distance](https://deepmind.google/research/publications/148245/)
- [1 August 2025\\
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Visual Intention Grounding for Egocentric Assistants](https://deepmind.google/research/publications/192581/)
- [16 July 2025\\
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Dialogues Between Technologists and the Art Worlds](https://deepmind.google/research/publications/181976/)
- [13 July 2025\\
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Large Language Models as Rankers, Judges, and Assistants: A Perspective on the Potential Over-Reliance on LLMs in IR](https://deepmind.google/research/publications/147939/)
- [13 July 2025\\
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SLIM: ONE-SHOT QUANTIZED SPARSE PLUS LOW-RANK APPROXIMATION OF LLMS](https://deepmind.google/research/publications/148040/)
- [13 July 2025\\
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Long-Form Speech Generation with Spoken Language Models](https://deepmind.google/research/publications/126936/)
- [1 July 2025\\
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Rethinking Example Selection in the Era of Million-Tok
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