Work in AI safety includes:

• AI alignment: Technical and conceptual research focused on getting AI systems to do what we want them to do
• AI policy and governance: Setting up institutions and mechanisms that cause major actors (such as AI labs and national governments) to implement good AI safety practices
• AI strategy and forecasting: Building models of how AI will develop and how our actions can make it go better
• Supporting efforts: Setting up systems and resources to support the above, like outreach, building and supporting communities, and education