Alignment with DF goals (BGI, Platform growth, community)

This proposal seeks to align with Deep Funding's goals by fostering innovation in AI safety through interdisciplinary research integrating behavioral sciences, robotics, and AI. It emphasizes community-driven safety protocols and decentralized monitoring systems, ensuring equitable benefits while minimizing harm from emerging technologies.

Problem description

Embodied AI, despite limited computational power, poses risks through environmental interaction. Current safety frameworks are inadequate, necessitating new solutions addressing embodied cognition.

Proposed Solutions

This project proposes the development of decentralized monitoring frameworks and safety guidelines for embodied AI systems. By integrating bio-inspired robotics, neuro-symbolic AI, and reinforcement learning, it aims to create robust systems that evaluate and mitigate risks. The initiative will also foster global collaboration to ensure inclusivity, addressing the challenges of accessible technologies while promoting sustainable and safe AI development.