Is AI in Jeopardy? The Need to Under Promise and Over Deliver - The Case for Really Useful Machine Learning
Is AI in Jeopardy? The Need to Under Promise and Over Deliver - The Case for Really Useful Machine Learning
复制标题
人工智能正处于危险之中吗？
DOI：
--
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
M. Ciupa
中科院分区：
文献类型：
--
作者：
M. Ciupa
媒体对人工智能（AI）的兴趣急剧增加，特别是关于正在进行的研究、开发和部署的承诺和潜在陷阱。讨论了最近的成功和失败的消息。关于这种媒体的“狂热”，研究了人工智能极端目标的存在机会和威胁（用超级智能/AGI和社会经济影响来表达），并提供了一些评论和分析。本文的应用分为两部分，即首先对媒体报道进行回顾，其次推荐AI中的项目命名，以实现具有特定智能组件的真正有用的机器的精确和现实的短期目标。这里提供了一个例子，即RUMLSM项目，这是一个新颖的人工智能/机器学习系统，旨在解决神经网络自下而上深度学习中的一些已知问题，被DARPA称为“第三波人工智能”。在撰写本文时，提供了一套广泛的、最新的、可在互联网上访问的支持性媒体文章参考资料。
There has been a dramatic increase in media interest in Artificial Intelligence (AI), in particular with regards to the promises and potential pitfalls of ongoing research, development and deployments. Recent news of success and failures are discussed. The existential opportunities and threats of extreme goals of AI (expressed in terms of Superintelligence/AGI and SocioEconomic impacts) are examined with regards to this media “frenzy”, and some comment and analysis provided. The application of the paper is in two parts, namely to first provide a review of this media coverage, and secondly to recommend project naming in AI with precise and realistic short term goals of achieving really useful machines, with specific smart components. An example of this is provided, namely the RUMLSM project, a novel AI/Machine Learning system proposed to resolve some of the known issues in bottom-up Deep Learning by Neural Networks, recognised by DARPA as the “Third Wave of AI.” An extensive, and up to date at the time of writing, Internet accessible reference set of supporting media articles is provided.