# The Governance of Physical Artificial Intelligence

**Authors:** Yingbo Li, Anamaria-Beatrice Spulber, Yucong Duan  
**arXiv:** [2304.02924](https://arxiv.org/abs/2304.02924)  
**Date:** 2023-04-06  
**Summary page:** https://www.summarizepaper.com/en/paper/2304.02924v1/

## Key points

- Physical artificial intelligence (PAI) is a significant challenge in AI
- PAI involves integrating AI with physical systems like robots and autonomous vehicles
- Governance of PAI is crucial for responsible and ethical application in society
- Addressing the existence problem through transparency and explainability in decision-making processes
- Establishing clear lines of accountability
- Promoting interdisciplinary collaboration
- Ensuring social acceptance through appropriate legislation and public education
- There is an opportunity to expand the notion of PAI beyond individual physical systems towards distributed applications involving IoT devices or agricultural technology
- Governance issues become more complex but equally important for such applications involving interactions with different physical entities across various spaces
- Effective governance is critical for responsible application of physical artificial intelligence in society while promoting interdisciplinary collaboration towards achieving successful implementation across various industries including agriculture.

## Summary

The development of physical artificial intelligence (PAI) presents a significant challenge in the field of artificial intelligence. PAI refers to the integration of AI with physical systems, such as robots and autonomous vehicles. The governance of PAI is crucial in ensuring responsible and ethical application in society. To address these challenges, a framework for governing PAI has been proposed. This framework includes addressing the existence problem through transparency and explainability in decision-making processes; establishing clear lines of accountability; promoting interdisciplinary collaboration; and ensuring social acceptance through appropriate legislation and public education. Furthermore, there is an opportunity to expand the notion of PAI beyond individual physical systems towards distributed applications involving IoT devices or agricultural technology. As such applications involve interactions with different physical entities across various spaces, governance issues become more complex but equally important. In conclusion, effective governance is critical for responsible application of physical artificial intelligence in society while promoting interdisciplinary collaboration towards achieving successful implementation across various industries including agriculture etc..