ML4Good - AI Safety Bootcamps

Information

Cohort Size

DATES

Sept 4 - 16 2023

Duration

8 days

LOCATION

juhui Melchtal (close to Luzern)

ABOUT THE CAMP

‍

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.

‍

https://www.aisafetycamp.ch/

Gallery

No items found.

Team

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