实现对人工通用智能的信任:秘密、预防措施和公众监督

G. Adamson
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引用次数: 1

摘要

对通常被称为人工智能(AI)的领域的研究已经进行了至少70年。现在看来,大量的研究工作将在近期或中期带来人工通用智能(AGI)的突破。在解决围绕这种发展的不确定性方面的一个挑战是商业保密的主张。虽然人工智能对社会有潜在的重大影响,但它的发展通常是一个严格保守的秘密。本文提出了一种基于操作风险文献中“控制”概念的方法。它提出了一种监测AGI研究的方法,该方法不要求公司披露其研究秘密,而是邀请公众监督有关研究的预防措施。它认为,这种对预防措施的审查解决了一个问题,即从事研究的公司对它们正在开发的技术了解有限。这与早期的一项重大技术发展——蒸汽机——进行了类比。蒸汽机的商业化比科学理解早了半个多世纪。在AGI的发展中依赖预防措施还有一个好处。如果公司的预防措施失败,他们将被要求解释哪里出了问题,以及未来将采取哪些新的或额外的预防措施,使这成为一个自我改进的过程。
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Achieving trust in Artificial General Intelligence : Secrets, precautions, and public scrutiny
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.
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