Position: Embodied AI Requires a Privacy-Utility Trade-off

1. 1Assess the privacy risks of Embodied AI systems in real-world environments
2. 2Evaluate the trade-off between privacy and utility in EAI system design
3. 3Implement privacy-preserving mechanisms, such as data anonymization and access control
4. 4Test and validate EAI systems for privacy and utility
5. 5Continuously monitor and update EAI systems to ensure privacy-utility balance

AI engineers and researchers working on Embodied AI systems need to consider the privacy implications of their designs, while also ensuring the systems remain useful and effective

💡 Embodied AI systems must balance privacy and utility to be effective and trustworthy

🤖 Embodied AI requires balancing privacy & utility! 📊