Cohort Size
Sept 4 - 16 2023
8 days
juhui Melchtal (close to Luzern)


According to 80,000 Hours, reducing risks from advanced artificial intelligence might be one of the most effective ways to improve the world.

Our Camp is designed to provide a gateway into the world of AI Safety and create an enjoyable experience for all participants.

With a focus on the key sub-domains of AI Safety, including conceptual aspects of the alignment problem, mechanistic interpretability, and governance, we offer a multidisciplinary learning experience through technical activities such as deep learning courses, paper readings, and discussions, presentations, and lectures.

We would be particularly enthusiastic to receive applications representing a wide range of diversity. Women, racialised people, people with disabilities and LGBTQ+ people are strongly encouraged to apply.


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Bogdan-Ionut Cirstea
Conceptual Teacher
Bogdan is an independent AI safety researcher funded by the Center on Long-Term Risk currently working mostly at the intersection of neuroscience, deep learning and AI alignment. During the camp, he will be the main instructor in charge of the conceptual parts. He completed a Master’s degree in Applied Mathematics at the École normale supérieure and has a PhD in Machine Learning.
Charbel-Raphael Segerie
Teacher, Curriculum Designer
Charbel is the co-head of the AI Safety Unit at EffiSciences. He will be the primary instructor for the coding parts of the event and has been the lead curriculum developer for all past iterations of ML4Good. He is teaching technical AI Safety in ENS Paris-Saclay in the Mathematics, Vision and Learning master.
Aude Maer
Aude (she/her) - Technical AI Safety Teacher
Aude was a student in CHERI, and one of the primary organizers of the Swiss AI Safety Summer Camp
Antoine Maer
Project Lead
Antoine (he/him) - Project Lead