We're all about
doing good better
Effective altruism is a philosophy and global community of people who strive to maximize the positive impact of their work and money. Together, we are creating a better world using our hearts and reason.
Cause prioritization
Jaké světové problémy jsou nejpalčivější? Vyhodnocujeme a zaměřujeme se na ty nejdůležitější.
Scientific methods
We use modern scientific knowledge and make decisions based on data.
Cost Effectiveness
Hledáme způsoby, jak svůj čas a peníze využít co nejlépe a mít tak co největší pozitivní dopad na svět.
upcoming events - job opportunities - new projects
Effective Altruism in Czechia
Introductory seminar
Sign up for an 8-week seminar based on the proven program of effective altruists from Stanford University.
2025
DALŠÍ BĚH
AI safety seminar
How can we ensure that future AI systems transform the world for the better, and not the other way around? What are the biggest risks? In this seminar, you will read texts covering current basic knowledge and approaches.
2025
DALŠÍ BĚH
Biosecurity seminář
V našem osmitýdenním semináři se zaměřujeme na technické a politické úsilí o prevenci, odhalování a reakci na katastrofické pandemie.
2025
DALŠÍ BĚH
Job opportunities
A current list of job opportunities in the Czech and global ecosystem of effectively altruistic organizations.
Career seminar
Apply to our program where we can help you find a career where you can have the biggest positive impact on the world.
Alignment of Complex Systems Research Group
AI alignment research group based at Charles University in Prague.EAGxPrague
We hosted an event where over 400 members of the global EA community came together to network and explore the best ways to make the world a better place.Want to learn more about effective altruism? We'll explain the basic principles and help you start on the path to effective impact in the world.
Community
How reinforcement learning actually works? 👉 How a lack of curiosity can cause AIs to fail to be able to do basic things? 👉 Why it's good for agents to be uncertain.
AI safety