Tackling the gravest risks from AI demands sound decision-making and policy at both the corporate and governmental levels. AI companies must responsibly manage powerful system development, while governments need effective regulation. By addressing these challenges, AI governance ensures that AI systems are developed and deployed in ways that mitigate risks, promote safety, and align with humanity's broader values.

This field focuses on ensuring that as AI becomes more advanced, systems remain reliable, interpretable, and aligned with human values. Researchers aim to mitigate risks from unintended or harmful outcomes by developing tools and methods that prevent catastrophic failures. Technical AI safety is critical for building a future where powerful AI enhances society without creating significant dangers.

Millions in low-income countries die each year from preventable diseases like malaria, HIV, and tuberculosis, while millions more endure chronic conditions that hinder their well-being. Global health research seeks to discover and implement cost-effective, scalable solutions to improve lives. By addressing health inequities, this work has the potential to create lasting, transformative changes for the world’s most vulnerable populations.

The world remains vulnerable to future pandemics, made increasingly likely by advances in biotechnology and AI. To protect against these risks, researchers and policymakers must collaborate to develop robust systems for rapid vaccine deployment, treatments, and other interventions. Biosecurity efforts ensure humanity is better prepared to prevent, contain, and recover from catastrophic biological threats.