作者对David Elms关于“计算机时代的实用智慧”的讨论的回复

IF 1.7 3区 工程技术 Q3 ENGINEERING, CIVIL
D. Blockley
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引用次数: 0

摘要

我感谢David Elms对我的论文《计算机时代的实用智慧》所作的深思熟虑和广泛的评论。他的评论应该得到充分的答复。他强调地球上每个人都面临着重大挑战,这是正确的。全球人口增长和巨大的不平等对我们所有人都同样重要。我选择关注三个特定的挑战,并不意味着我认为其他挑战不那么重要。我认为,文件中提出的观点对所有人都是相关的。他觉得这篇论文不够清晰。正如他所承认的那样,我的目的很明确,即识别威胁和机遇,重新评估我们作为土木工程师提供的服务,提出改进服务的方法,并更好地理解我们提供的哪些东西不能转化为人工智能算法。也许他在论文中缺乏明确性,是因为他认为,威胁和机遇与我们所做的事情以及我们为什么要做这些事情非常吻合,但提高效率和质量(包括安全)以及计算机化的影响在某种程度上是次要的。我把它们放在一起的原因是,质量和安全对我们的工作至关重要,我们经常因为在时间和预算上的失误以及生命损失而受到批评。这就是为什么要包括关于交互对象进程模型(IOPM)的部分。该模型是关于实现联合系统思维的。它是关于在正确的时间(什么时候)为了正确的目的(为什么)以正确的形式(在哪里)以正确的方式(如何)将正确的信息(什么)传递给正确的人(谁)。如果国际海事组织发展成为服务世界范围内项目内部网络的组织,其效力将具有变革性。我认为埃尔姆斯对工程工作的流失和性质的变化也有点不屑一顾。非技术合格的决策者(政治家和商界人士)和舆论领袖对工程师“给党带来了什么”缺乏理解,在某些情况下,已经导致了关于工程师角色的不恰当和有害的决定。在未来广泛使用人工智能的项目中,这些危险可能会变得更加严重。算法可以涵盖的日常工作与需要实际智能和智慧的工作之间的区别至关重要。我完全同意我们不能仅仅根据过去来决定未来。当然,我们必须从过去吸取教训,我们的理论确实依赖于过去和现在的检验。我们一致认为,一个主要的问题是我们如何处理未知的未知的意外,而设计弹性是关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Author’s reply to David Elms’ discussion of ‘Practical wisdom in an age of computerization'
I thank David Elms for his thoughtful and extensive comments on my paper ‘Practical wisdom in an age of computerization’. His comments deserve a full reply. He is right to highlight that that major challenges face everyone on the planet. The rise in global population and massive inequalities are equally important to us all. My choice to focus on three particular challenges does not imply that I consider the others to be of lesser importance. The points made in the paper are relevant, in my view, to all. He perceives a lack of clarity in the paper. My purpose was clearly set out, as he acknowledges, to identify threats and opportunities, to re-evaluate the service we provide as civil engineers, to suggest ways of improving that service and to understand better what it is that we provide that cannot be turned into algorithms of AI. Perhaps his perceived lack of clarity in the paper derives from his thinking that the threats and opportunities fit well with what we do and why we do it – but that increased efficiency and quality (including safety) and the effects of computerisation are somehow subsidiary. The reason I put them together is because quality and safety are paramount in our work and we are often rightly criticized for failures on time and budget as well as loss of life. That is why the section on the interacting objects process model (IOPM) is included. That model is about enabling joined-up systems thinking. It is about getting the right information (what) to the right people (who) at the right time (when) for the right purpose (why) in the right form (where) and in the right way (how). The effectiveness of the IOPM could be transformative if it is developed into servicing worldwide project intra-networks. I think Elms is also a bit dismissive of the loss and changing nature of engineering jobs. The lack of understanding by non-technically qualified decisions makers (politician and business-people) and opinion formers of what engineers ‘bring to the party’ is already leading, in some cases, to inappropriate and harmful decisions about the roles of engineers. These dangers could become even more serious in future projects where AI is used extensively. The distinction between routine work that can be covered by algorithms and that which requires practical intelligence and wisdom is crucial. I agree entirely that we cannot base our decisions about the future on the past alone. Of course, we must learn lessons from the past and our theories do depend on testing in the past and present. We agree that a major concern is how we deal with unknown unknown surprises and that designing for resilience is key.
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来源期刊
Civil Engineering and Environmental Systems
Civil Engineering and Environmental Systems 工程技术-工程:土木
CiteScore
3.30
自引率
16.70%
发文量
10
审稿时长
>12 weeks
期刊介绍: Civil Engineering and Environmental Systems is devoted to the advancement of systems thinking and systems techniques throughout systems engineering, environmental engineering decision-making, and engineering management. We do this by publishing the practical applications and developments of "hard" and "soft" systems techniques and thinking. Submissions that allow for better analysis of civil engineering and environmental systems might look at: -Civil Engineering optimization -Risk assessment in engineering -Civil engineering decision analysis -System identification in engineering -Civil engineering numerical simulation -Uncertainty modelling in engineering -Qualitative modelling of complex engineering systems
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