AI-Perspectives: an editorial,AI Perspectives

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AI-Perspectives: an editorial
AI Perspectives Pub Date : 2019-09-03 , DOI: 10.1186/s42467-019-0001-1
Frank Kirchner

In this journal we will have to discuss the many challenges and applications that AI in the time of increasing -computational- resources can achieve, how can it be applied and what the consequences of its application are. We will have to discuss about the feedback to basic AI research that is provided by the application of an AI-algorithm or concept to a given and real problem. Furthermore, we will have to debate on how we got used to hearing yet another story on yet another ‘successful’ application of AI to yet another a problem instead we must discuss the question how can we focus on carving out what exactly have we learned from this application, what new fundamental questions have been revealed by this application and does the application provide new insights for basic research. In other words, we will have to discuss about measures of success for the useful application of AI to real world problems and this journal shall be the place to have these discussions.

In order to develop measures of success for AI, we need to discuss the consequences of the application of an AI algorithm or concept to a real world problem. Does it help society or mankind, what are the pros and cons of its application and what are the framework conditions under which this particular algorithm can be applied. Framework conditions could foremost be discussed in the light of the continuously growing power that AI-research has provided to mankind. Is mankind ready for this power? If not, then what is needed to achieve this readiness.

These are questions that need to be discussed in a journal that tries to peek into the future of AI-research. And finally, we need to ask ourselves the question: what if our computational power and thus the power of AI-systems will still grow and actually break through the barrier of the until now unpredictable natural environment or physics. What if in fact we will someday be able to combine AI and quantum computing technologies? What if a sort of Quantum-AI will at some point be able to compute next to everything? Are we really ready for this?

There are many questions that come up when one thinks about such possibilities and as always there is fear and there is hope. The only way we know to stay in control of both, too much fear and too much high hopes is to debate. A great place to do this is a journal and this is why a journal on the perspectives of AI is needed more than ever.

We would like to see contributions that provide systematic and substantial syntheses of specific research areas, to provide evaluations of progress in the specified areas, or to deliver a critical assessment with respect to progress and achievements in specific research areas and applications.

AI Perspectives will cover the application of AI in industry, healthcare, transport, education, social sciences and humanities and business and economics and papers are welcome to discuss a broad scope of research disciplines including:

Machine perception and multi-media sensing, autonomous vehicles, intelligent and cooperative interacting robots, speech recognition and language use, cyber-physical systems, hybrid teams and industry 4.0, knowledge representation, medical diagnosis and rehabilitation robots, process improvement and AI strategies for digital businesses, AI in legal and fintech industries, internet of things and regulation and ethics.

We adhere to a strict high-level selection process to ensure an excellent publication quality, we would also encourage authors to provide an in-depth description how basic research enables a specific application and how this application triggers new questions for basic research.

How can the integration of various AI methods in application be achieved is another central question touching upon system-oriented and integrated research as well as e.g., the interaction of data driven vs. model driven AI, while keeping in focus questions of: responsibility and ethics as well as explainability and transparency of presented approaches?

This journal will try to provide the broadest possible spectrum for discussion featuring a variety of paper formats including: research articles, reviews, case studies, commentary papers, position papers but also doctoral dissertations that the authors want to publish in condensed format.

To stimulate a discussion among the readers of this new journal the editor in chief took the chance to write up a position paper as one of the first publications in this new journal. The paper is drawing a line from Alan Turing’s early work on AI in the face of very limited computational resources to contemporary applications of AI in the light of ever-increasing computational resources and to possible future facing an era of quantum computation with next to unlimited computational resources. The paper is meant to stimulate a discussion and to trigger commentaries on the positions and perspectives described in the paper.

Let us begin to do what we can do best, let us begin to think and talk...

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Affiliations

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Bremen, Germany
- Frank Kirchner

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Frank KirchnerView author publicationsYou can also search for this author in
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Contributions

FK was the mayor contributor in writing the manuscript and read and approved the final manuscript.

Corresponding author

Correspondence to Frank Kirchner.

Competing interests

The author declares that he has no competing interests.

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Kirchner, F. AI-Perspectives: an editorial. AI Perspect 1, 1 (2019). https://doi.org/10.1186/s42467-019-0001-1

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Received: 22 July 2019
Accepted: 25 July 2019
Published: 03 September 2019
DOI: https://doi.org/10.1186/s42467-019-0001-1

中文翻译：

AI观点：社论

在本期刊中，我们将不得不讨论AI在计算资源不断增加时可以实现的许多挑战和应用，如何应用以及应用的后果。我们将不得不讨论通过将AI算法或概念应用于给定的实际问题而提供的对基础AI研究的反馈。此外，我们将不得不辩论如何习惯于听取关于AI在另一个“成功”应用到另一个问题的故事，取而代之的是，我们必须讨论以下问题：如何专注于从中吸取教训此应用程序揭示了该应用程序揭示了哪些新的基本问题，并且该应用程序是否为基础研究提供了新的见解。换一种说法，

为了制定AI成功的衡量标准，我们需要讨论将AI算法或概念应用于现实世界问题的后果。它对社会或人类有帮助吗，其应用的优缺点是什么，可以应用此特定算法的框架条件是什么？鉴于AI研究为人类提供的持续增长的能力，最重要的条件是讨论框架条件。人类准备好拥有这种能力了吗？如果没有，那么需要什么来实现这种准备。

这些问题需要在试图窥视AI研究的未来的期刊中进行讨论。最后，我们需要问自己一个问题：如果我们的计算能力以及AI系统的能力仍将增长，并真正突破迄今无法预测的自然环境或物理的壁垒，该怎么办？如果事实上我们有朝一日能够将AI和量子计算技术结合起来怎么办？如果某种Quantum-AI能够在某个时候紧随一切进行计算怎么办？我们真的准备好了吗？

当人们思考这样的可能性时，会出现很多问题，一如既往，恐惧与希望并存。我们知道要同时控制住太多恐惧和太多希望的唯一方法就是辩论。做到这一点的好地方是期刊，这就是为什么比以往任何时候都更需要有关人工智能观点的期刊的原因。

我们希望看到能够提供特定研究领域的系统性和实质性综合信息，提供对特定领域进展的评估或针对特定研究领域和应用中的进展和成就进行重要评估的贡献。

《 AI观点》将涵盖AI在工业，医疗保健，运输，教育，社会科学和人文科学以及商业与经济学中的应用，欢迎论文讨论广泛的研究领域，包括：

机器感知和多媒体传感，自动驾驶汽车，智能和协作交互机器人，语音识别和语言使用，网络物理系统，混合团队和工业4.0，知识表示，医疗诊断和康复机器人，流程改进和数字AI策略商业，法律和金融科技行业的AI，物联网，法规和道德规范。

我们坚持严格的高层选拔程序，以确保出色的出版质量，我们也鼓励作者提供深入的描述，以表明基础研究如何实现特定的应用程序以及该应用程序如何引发基础研究的新问题。

如何实现各种AI方法在应用中的集成是涉及系统导向和集成研究以及数据驱动与模型驱动的AI交互的另一个核心问题，同时重点关注以下问题：责任与道德以及所介绍方法的可解释性和透明度？

该期刊将尝试提供广泛的讨论范围，包括多种论文格式，包括：研究文章，评论，案例研究，评论论文，立场论文，以及作者希望以简明格式发表的博士学位论文。

为了激发新期刊读者之间的讨论，总编辑借此机会撰写了一份立场书，作为该新期刊的首批出版物之一。面对计算资源非常有限的情况，本文从Alan Turing的AI早期工作中划出了一条线，鉴于不断增加的计算资源，以及面对无限计算之后的量子计算时代，未来的AI可能适用于当代资源。本文旨在激发讨论并引发对本文中描述的立场和观点的评论。

让我们开始做我们最擅长的事情，让我们开始思考和交谈...

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