AI Safety is a research field focused on ensuring that advanced artificial intelligence systems remain beneficial, aligned with human values, and under human control as they become more capable. It encompasses technical research areas like alignment, interpretability, and robustness, as well as governance considerations about how AI systems should be developed and deployed.
As AI systems become more powerful and autonomous, they may develop capabilities that could lead to unintended consequences if not properly designed and controlled. The stakes are high: advanced AI could help solve humanity's greatest challenges, but also poses significant risks if developed without adequate safety measures. The field aims to maximize the benefits while minimizing potential harms.
Ensuring AI systems pursue goals aligned with human values and intentions, even as they become more capable.
Developing techniques to understand how AI systems make decisions and represent knowledge.
Creating systems that behave safely even when deployed in new environments or facing unexpected situations.
Preventing AI systems from developing instrumental goals that conflict with human welfare.
Ensuring that safety standards are maintained across all major AI development efforts globally.
A forum dedicated to technical research in AI alignment, with papers and discussions from leading researchers.
Technical VisitA community blog focused on human rationality and the implications of artificial intelligence.
Intermediate VisitCareer guidance for working on the world's most pressing problems, including AI safety.
Introductory VisitA collaborative wiki providing accessible explanations of AI alignment concepts.
Introductory VisitAt BAISH - Buenos Aires AI Safety Hub, we focus on several key areas within AI safety research:
We contribute to the field through:
Co-founding Director
Co-founding Director
Communications Director
Advisor
