How can I build trustworthy, decentralized AI agents for web apps?
Trustworthy Decentralized Autonomous Machines: A New Paradigm in Automation Economy
April 23, 2025
https://arxiv.org/pdf/2504.15676This paper introduces Decentralized Autonomous Machines (DAMs), essentially AI-powered machines that can manage themselves and their assets (both physical and digital) within a decentralized network using blockchain and IoT. Think self-owning robots, autonomous vehicles, or smart factories operating and transacting on a blockchain.
Key points for LLM-based multi-agent systems:
- AI decision-making: DAMs use AI (including LLMs) for real-time decisions, resource optimization, and autonomous behavior within a decentralized framework.
- Blockchain for trust and coordination: Blockchain enables trustless interactions, verifiable data exchange, and automated governance among DAMs.
- IoT for physical world interaction: IoT devices act as the sensors and actuators, allowing DAMs to perceive and act within the physical world.
- Real and Digital World Asset (RDWA) management: DAMs can manage both physical and digital assets, opening new possibilities for automation and decentralized economies.
- Trustworthy validation and verification: Zero-Knowledge Proofs (ZKPs) and Trusted Execution Environments (TEEs) are crucial for secure and private data validation in trustless environments. Software validation methodologies are also essential.
- Scalability and Interoperability: Layer-2 solutions and cross-chain interoperability are key considerations for building scalable and interconnected DAM networks.
- Socio-economic implications: DAMs have the potential to disrupt labor markets and wealth distribution, requiring careful consideration of governance and economic models. New insurance models and regulations will also be necessary.