Effective Altruism Denmark
Effective Altruism Denmark is a Almen Forening steered by passionate volunteers and guided by its members. Everyone aims to make a positive impact, but lots of ways of doing good are ineffective. Our core goal is to answer the question: How can we use our time and money to help others the most?
Within Effective Altruism, AI safety is a big topic for technical talent to work on due to the potential for AI to upend our societies either through misinformation and distrust or from critical system failure from AI systems. EA Denmark and its sub-community ML Safety Denmark have been active in Copenhagen and Denmark for many years, recently ramping up its engagement with AI safety.
The hackathons have been a unique and exciting opportunity to engage with highly technical talent in Denmark without necessitating the technical skills on our core team due to the online support. It has also been an amazing way to inaugurate and introduce new members to the Copenhagen offices when that was set up in the Summer of 2023.
Organizers
Elliot Davies
Organizer
Elliot Davies is the director of Effective Altruism Denmark and co-hosts the Machine Learning Denmark events, such as the hackathons.
Karina Knudsen
Organizer
Karina is a lead organizer of Machine Learning Denmark and has hosted weekly meetups along with multiple hackathons at EA DK.
Albert Garde
Organizer
Besides being an Apart Lab Fellow during 2023 and publishing DeepDecipher, Albert is a core member of the EA Denmark team and has hosted multiple hackathons with Apart.
Esben Kran
Organizer
Esben is the founder of Apart Research, which he launched at age 22 after leaving grad school. Apart accelerates AI safety research worldwide, producing 20+ papers, award-winning benchmarks like DarkBench, and engaging 4,000+ hackers in research sprints.
Recently co-launched Seldon to fund critical infrastructure for humanity's future, with first investments in Andon Labs, Lucid Computing, Workshop Labs, and Asymmetric Security.
Sprints hosted here
- May 3 - 6, 2024Online and in person
AI and Democracy Hackathon: Demonstrating the Risks
Together, we will be hacking away to demonstrate and mitigate the challenges that arise in the meeting between AI and democracy, while trying to project these risks into the future.
View Sprint: AI and Democracy Hackathon: Demonstrating the Risks - Nov 24 - 26, 2023Online and in person
AI Model Evaluations Hackathon
Expose the unknown unknowns of AI model behavior
View Sprint: AI Model Evaluations Hackathon - Sep 29 - Oct 1, 2023Online and in person
Multi-Agent Safety Hackathon
Co-author research opportunity with Cooperative AI Foundation
View Sprint: Multi-Agent Safety Hackathon - Aug 18 - 20, 2023Online and in person
LLM Evals Hackathon
Welcome to the research hackathon to devise methods for evaluating the risks of deployed language models and AI. With the societal-scale risks associated with creating new types of intelligence, we need to understand and control the capabilities of such models.
View Sprint: LLM Evals Hackathon - Jun 30 - Jul 2, 2023Online and in person
Safety Benchmarks Hackathon
Large AI models are released nearly every week. We need to find ways to evaluate these models (especially at the complexity of GPT-4) to ensure that they will not have critical failures after deployment, e.g. autonomous power-seeking, biases for unethical behaviors, and other phenomena that arise in deployment (e.g. inverse scaling).
View Sprint: Safety Benchmarks Hackathon - May 26 - 28, 2023Online and in person
ML Verifiability Hackathon
Join us for this month's Alignment Jam to investigate how we can both formally and informally verify the safety of machine learning systems!
View Sprint: ML Verifiability Hackathon - Mar 24 - 27, 2023Online and in person
AI Governance
A weekend for exploring AI & society!
View Sprint: AI Governance - Feb 10 - 13, 2023Online and in person
Scale Oversight for Machine Learning Hackathon
Join us for the fifth Alignment Jam where we get to spend 48 hours of intense research on how we can measure and monitor the safety of large-scale machine learning models. Work on safety benchmarks, models detecting faults in other models, self-monitoring systems, and so much else!
View Sprint: Scale Oversight for Machine Learning Hackathon - Jan 20 - 23, 2023Online and in person
Mechanistic Interpretability Hackathon
Machine learning is becoming an increasingly important part of our lives and researchers are still working to understand how neural networks represent the world.
View Sprint: Mechanistic Interpretability Hackathon - Sep 29 - Oct 1, 2022Online and in person
Language Model Hackathon
Alignment Jam #1
View Sprint: Language Model Hackathon
Photos
Host a site for the next Sprint
Next Sprint: AI Collusion Research Sprint, Oct 23 - 25, 2026. Host a local site and participants near you will find it on the Sprint’s page.