Cambridge AI Safety Hub
Cambridge AI Safety Hub (CAISH) is a community hub that recruits students and professionals to work on reducing existential risks from advanced AI systems. It offers fellowships, mentored research, and scoped projects to help members build technical or governance expertise and produce concrete outputs. The hub also maintains an alumni network that connects former participants to AI safety roles and programs at other organizations.
- Education Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Advanced AI systems present existential risks that require dedicated technical and governance expertise, yet students and professionals lack structured pathways to enter this field. Aspiring AI safety practitioners often struggle to find mentors, collaborators, and scoped projects that translate their interest into concrete, useful contributions.
Solution
Cambridge AI Safety Hub (CAISH) serves as Cambridge’s central community for individuals seeking to work on making the transition to superintelligence safe. The hub recruits promising students and professionals, then guides them through two core tracks: learning the field and building useful work. Learning pathways include fellowships and introductory programming that develop technical or governance context, while building tracks offer writing support, mentored research, and scoped projects designed to produce tangible outputs. By connecting members to collaborators and local initiatives, CAISH helps participants turn knowledge into actionable AI safety contributions.
Target Audience
Students, academics, and professionals in Cambridge who want to build AI safety context, find collaborators, and contribute to reducing existential risks from advanced AI systems.
Features
- Fellowship programs and introductory programming tailored to students and professionals building technical or governance context
- Mentored research opportunities and structured writing support that lead to concrete, publishable outputs
- Scoped project tracks that channel participants into focused, measurable AI safety work
- Regular community-building events and networking to connect members with local academics, researchers, and practitioners
- Electronic mailings with application deadlines and program updates to keep the community engaged
- Alumni network with optional named referrals to AI safety organizations and opportunity updates for roles, programs, funding, and events