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Risks of Embodied Artificial Intelligence Systems

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Risks of Embodied Artificial Intelligence Systems

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Musonda Bemba Apr. 1, 2025
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Challenge: AI FOR PEACE CHALLENGE

Industries

Community and CollaborationRoboticsSafety and ethics

Technologies

Hardware & roboticsNeuro-symbolic AIReinforcement learning

Tags

CryptoDF rulesGovernance & tooling

Description

Frameworks to address risks posed by computationally simple but behaviorally intelligent AI systems that interact with their environment.

Detailed Idea

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.

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