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Achieving trust in Artificial General Intelligence : Secrets, precautions, and public scrutiny

机译:实现人工综合情报的信任:秘密,预防措施和公众审查

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Research into the field generally referred to as Artificial Intelligence (AI) has been undertaken for at least 70 years. It now appears that the sheer weight of research effort will lead to a breakthrough in the achievement of Artificial General Intelligence (AGI) in the near or medium future. A challenge in addressing uncertainty surrounding such development is the assertion of commercial secrecy. While AGI has potentially significant implications for society, its development is generally a closely guarded secret. This paper proposes an approach based on concepts of `controls' from the operational risk literature. It proposes an approach to monitoring AGI research that does not require the company to reveal its research secrets, by inviting public scrutiny of the precautions in place regarding the research. It argues that such scrutiny of precautions addresses the problem that companies undertaking research have limited knowledge of the technologies they are developing. This is argued by analogy with an early major technology development, the steam engine, where commercialization preceded scientific understanding by more than half a century. Reliance on precautions in the development of AGI has a further benefit. Where companies' precautions fail, they would be expected to explain what went wrong and what new or additional precautions would be adopted in the future, making this a self-improving process.
机译:已经进行了一般称为人工智能(AI)的领域的研究已经进行了至少70年。现在看来,研究努力的纯粹体重将导致在近期或中期未来的人工综合情报(AGI)的实现方面取得了突破。解决各种发展的不确定性方面的挑战是商业保密的主张。虽然AGI对社会产生了重大影响,但其发展通常是一个密切守卫的秘密。本文提出了一种基于业务风险文献的“控制”概念的方法。它提出了一种监测AGI研究的方法,通过邀请公众对研究的预防措施进行公众审查,不要求公司揭示其研究机密。它认为,这种预防措施的审查解决了公司承诺研究的问题有限了解他们正在开发的技术。这是通过比喻与早期的主要技术开发,蒸汽机,商业化之前的一年以上的一半以上的人。依赖于AGI发展的预防措施具有进一步的好处。如果公司的预防措施失败,他们将有望解释出错了什么,将来会采用什么新的或更多的预防措施,使这是一个自我改善的过程。

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