This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
ApartSprints
Hackathon for Technical AI Safety Startups
66792de23b5e6f1a6eb18e3f
Hackathon for Technical AI Safety Startups
September 2, 2024
Accepted at the 
66792de23b5e6f1a6eb18e3f
 research sprint on 

AI Safety Collective - Crowdsourcing Solutions for Critical AI Safety Challenges

The AI Safety Collective is a global platform designed to enhance AI safety by crowdsourcing solutions to critical AI Safety challenges. As AI systems like large language models and multimodal systems become more prevalent, ensuring their safety is increasingly difficult. This platform will allow AI companies to post safety challenges, offering bounties for solutions. AI Safety experts and enthusiasts worldwide can contribute, earning rewards for their efforts. The project focuses initially on non-catastrophic risks to attract a wide range of participants, with plans to expand into more complex areas. Key risks, such as quality control and safety, will be managed through peer review and risk assessment. Overall, The AI Safety Collective aims to drive innovation, accountability, and collaboration in the field of AI safety.

By 
Lye Jia Jun, Dhruba Patra, Philipp Blandfort
🏆 
4th place
3rd place
2nd place
1st place
 by peer review
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This project is private