AI safety & Security

Apart Research

Artificial intelligence will change the world. Our mission is to ensure this happens safely and to the benefit of everyone.

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Apart > Research

Foundational Research for Safe and Beneficial Advanced AI

Apart > Sprints

Global Hackathons and Challenges in AI Safety for Aspiring Researchers

Apart > Lab

Incubating Talented Research Teams Towards Real-World Impact

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Our Published Papers

Foundational AI Safety Research

We aim to produce foundational research enabling the safe and beneficial development of advanced AI. See our publications below.

Luke Marks, Amir Abdullah, Luna Mendez, Rauno Arike, Philip Torr, Fazl Barez

arXiv
[Read Publication}

Interpreting Reward Models in RLHF-Tuned Language Models Using Sparse Autoencoders

Alex Foote1*, Neel Nanda2, Esben Kran1, Ionnis Konstas3, Shay Cohen4, Fazl Barez1,4,5*

RTML workshop at ICLR 2023
[Read Publication}

Neuron to Graph: Interpreting Language Model Neurons at Scale

NeurIPS 2023 XAI in Action Workshop
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DeepDecipher

Philip Quirke, Fazl Barez

arXiv
[Read Publication}

Understanding Addition in Transformers

Michael Lan, Fazl Barez

arXiv
[Read Publication}

Locating Cross-Task Sequence Continuation Circuits in Transformers

Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark

Jason Hoelscher-Obermaier1*, Julia Persson1*, Esben Kran1, Ionnis Konstas2, Fazl Barez1,3*

ACL 2023
[Read Publication}

The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python

Antonio Valerio Miceli-Barone1*, Fazl Barez1*, Ioannis Konstas2, Shay B. Cohen1

ACL 2023
[Read Publication}
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5
Apr

LLM Psychology Hackathon

Hybrid participation
5
Apr
Canceled

LLM Psychology Hackathon

LLM Psychology Hackathon

Hybrid participation
3
May

AI Governance Research Sprint

Hybrid participation
3
May
Canceled

AI Governance Research Sprint

AI Governance Research Sprint

Hybrid participation
24
May

Model Evaluation Hackathon

Hybrid participation
24
May
Canceled

Model Evaluation Hackathon

Model Evaluation Hackathon

Hybrid participation
What does Apart do?

We solve high-impact, neglected and tractable problems in AI safety

Field-building for AI safety

Our initiatives allow people from diverse backgrounds to have an impact on AI safety. On 7 continents, more than 200 projects have been developed by over 1,000 researchers. Some teams have gone on to publish their research at major academic venues, such as NeurIPS and ACL.

High-impact research

We engage in both original research and contracting for research projects that aim to translate academic insights into actionable strategies for mitigating catastrophic risks associated with AI. We have co-authored with researchers from the University of Oxford, DeepMind, Edinburgh University and more.

A vision for the future

Our aim is to foster a positive vision and an action-focused approach to AI safety, a commitment underscored by our signing of both the Statement on AI Risk and the Letter for an AI Moratorium. We are privileged to not only be tightly connected with but also actively develop a large community in AI safety.

Apart Research

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Check out the list below for ways you can interact or research with Apart!

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You can book a meeting here and we can talk about anything between the clouds and the dirt. We're looking forward to meeting you.

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We have a design where ideas are validated by experts on the website. If you would like to be one of these experts, write to us here. It can be a huge help for the community!

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People

Members

Central committee board

Associate Kranc
Head of Research Department
Commanding Center Management Executive

Partner Associate Juhasz
Head of Global Research
Commanding Cross-Cultural Research Executive

Associate Soha
Commanding Research Executive
Manager of Experimental Design

Partner Associate Lækra
Head of Climate Research Associations
Research Equality- and Diversity Manager

Partner Associate Hvithammar
Honorary Fellow of Data Science and AI
P0rM Deep Fake Expert

Partner Associate Waade
Head of Free Energy Principle Modelling
London Subsidiary Manager

Partner Associate Dankvid
Partner Snus Executive
Bodily Contamination Manager

Partner Associate Nips
Head of Graphics Department
Cake Coding Expert

Honorary members

Associate Professor Formula T.
Honorary Associate Fellow of Research Ethics and Linguistics
Optimal Science Prediction Analyst

Alumni

Partner Associate A.L.T.
Commander of the Internally Restricted CINeMa Research
Keeper of Secrets and Manager of the Internal REC

Contact

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