Trusted Autonomy: Why Human-Machine Teams Will Run on Crypto Networks
Autonomous machines and AI are becoming integral to various sectors like healthcare, education, and defense, yet there are challenges in integrating them into human society. Blockchains and smart contracts are proposed as solutions, providing secure communication and collaboration frameworks for human-machine and machine-machine interactions. These networks can facilitate the discovery of resources and task completions in high-stakes environments, while decentralized governance promotes uniformity in regulations across jurisdictions. Additionally, decentralized autonomous organizations (DAOs) can speed up R&D in robotics and AI by offering novel funding mechanisms. The article emphasizes that rather than competing with humans, robots can alleviate shortages in critical sectors like education and healthcare, thus enhancing human capabilities. Existing platforms, such as Ethereum, are already supporting innovative applications through secure transaction processing. This emerging landscape suggests a future where humans work alongside autonomous systems more effectively, guided by transparent and immutable rules.
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