Fostering AI Safety Expertise
A significant new initiative has been launched to bolster the field of artificial intelligence safety and alignment. This program, spearheaded by a leading
AI development organization, aims to bring together a diverse group of researchers from around the world. The core objective is to encourage hands-on investigation into the crucial aspects of making advanced AI systems safe and ensuring they operate in alignment with human values. Running from September 14, 2026, to February 5, 2027, this fellowship is specifically seeking individuals who can contribute to understanding and mitigating risks associated with both current and future AI technologies. The emphasis is on tackling profound safety questions that have become increasingly pertinent as AI capabilities continue to expand.
Key Research Focus Areas
Fellows will be guided to concentrate their efforts on several critical domains vital for AI security and responsible development. These include rigorous safety evaluations, ensuring AI robustness against unforeseen issues, and developing scalable methods to mitigate potential harms. Special attention will be given to privacy-preserving safety techniques, enabling AI systems to protect user data while maintaining functionality. The program also highlights the importance of agentic oversight, which involves developing mechanisms for monitoring and controlling AI agents, and identifying high-severity misuse domains where AI could pose significant risks. A preference is expressed for research that is not only technically sound and empirically validated but also offers practical value and relevance to the wider AI research community.
Collaboration and Output
Participants in this fellowship will benefit from close collaboration with experienced mentors from the host organization, alongside engagement with a cohort of fellow researchers. While workspaces will be available at Constellation in Berkeley, the program also accommodates remote work arrangements. A key expectation is that fellows will produce substantial research outcomes by the program's conclusion. These outputs could take various forms, such as a published academic paper, a new benchmark for evaluating AI systems, or a valuable dataset that aids future research. To support their endeavors, fellows will receive a monthly stipend, dedicated computer resources, and continuous mentorship throughout the program.
Diverse Applicant Pool
The fellowship welcomes applications from individuals with varied academic and professional backgrounds. This includes expertise in computer science, social sciences, cybersecurity, privacy, human-computer interaction (HCI), and other related disciplines. The selection process prioritizes demonstrated research capabilities, strong technical judgment, and a proven ability to execute projects effectively, rather than solely relying on specific academic credentials. This inclusive approach aims to gather a broad spectrum of perspectives and skills to tackle the multifaceted challenges of AI safety and alignment from all angles.
