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

机译:赢得对人工智能的信任:秘密,预防措施和公众监督

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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:通常被称为人工智能(AI)的领域已经进行了至少70年的研究。现在看来,研究工作的巨大力量将在不远的将来或不久的将来在实现人工智能方面取得突破。解决围绕这种发展的不确定性的挑战是商业秘密的主张。尽管AGI对社会具有潜在的重大影响,但其发展通常是一个严密保护的秘密。本文提出了一种基于操作风险文献中“控制”概念的方法。它通过邀请公众审查有关研究的预防措施,提出了一种监测AGI研究的方法,该方法不需要公司透露其研究秘密。它认为,对预防措施的这种审查解决了以下问题:进行研究的公司对他们正在开发的技术了解有限。这可以与早期的重大技术发展(蒸汽机)相提并论,蒸汽机在商业化之前先于科学了解已有半个多世纪。在AGI的开发中依靠预防措施还有一个好处。如果公司的预防措施失败了,他们将被要求解释出了什么问题以及将来会采用什么新的或额外的预防措施,从而使这成为一个自我完善的过程。

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