AI and Legal Issues

Zekos, Georgios I.

doi:10.1007/978-3-030-64254-9_10

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…We anticipate that this question will increase in complexity and importance the more AI systems are embedded in people's daily lives and in proportion to the function of these systems (e.g., sectors, such as medicine, may require nuances that other sectors, such as entertainment, will not). 84 Economic impacts : we believe that the relationship between AI and the economy will become a major theme of AI ethics. In addition to the current discussion of automation and the loss of labor, which allay into questions, such as universal basic income, etc., there are broader questions regarding taxation of AI systems, national and international procurement standards and strategies, and the strategic importance of AI in national budgets.…”

Section: Discussionmentioning

confidence: 99%

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A high-level overview of AI ethics

Kazim

Koshiyama

2021

Patterns

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Summary Artificial intelligence (AI) ethics is a field that has emerged as a response to the growing concern regarding the impact of AI. It can be read as a nascent field and as a subset of the wider field of digital ethics, which addresses concerns raised by the development and deployment of new digital technologies, such as AI, big data analytics, and blockchain technologies. The principle aim of this article is to provide a high-level conceptual discussion of the field by way of introducing basic concepts and sketching approaches and central themes in AI ethics. The first part introduces concepts by noting what is being referred to by “AI” and “ethics”, etc.; the second part explores some predecessors to AI ethics, namely engineering ethics, philosophy of technology, and science and technology studies; the third part discusses three current approaches to AI ethics namely, principles, processes, and ethical consciousness; and finally, the fourth part discusses central themes in translating ethics in to engineering practice. We conclude by summarizing and noting the inherent interdisciplinary future directions and debates in AI ethics.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A high-level overview of AI ethics

Kazim

Koshiyama

2021

Patterns

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“…At present, with the mature development of deep learning, neural network, and other artificial intelligence technologies, the application of intelligent robot technology in the field of law is also the current research boom. The earliest research on the application of artificial intelligence in the field of law began in western countries ( Zekos, 2021 ). In view of the flourishing research on the application of artificial intelligence technology in other fields, in the 1980s, some legal persons with advanced scientific and technological ideas started to build the legal system of artificial intelligence, hoping that the legal system based on artificial intelligence technology could assist lawyers in the trial of some cases (as shown in Figure 1 ; Lakemeyer, 2018 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Thus, with the rapid development of artificial intelligence technology ( Koos, 2018 ; Dessi et al, 2020 ), an intelligent robot has been proposed. With the proposal and development of intelligent robots, this technology has been applied to various fields such as industry, medicine, and agriculture, and has promoted the rapid development of various fields ( Yan-Fang and Zhu, 2019 ; Ting et al, 2019 ; Zekos, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Intelligent Robot in Sentencing

Chen

2022

Front. Psychol.

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This work aims to explore the application of deep learning-based artificial intelligence technology in sentencing, to promote the reform and innovation of the judicial system. First, the concept and the principles of sentencing are introduced, and the deep learning model of intelligent robot in trials is proposed. According to related concepts, the issues that need to be solved in artificial intelligence sentencing based on deep learning are introduced. The deep learning model is integrated into the intelligent robot system, to assist in the sentencing of cases. Finally, an example is adopted to illustrate the feasibility of the intelligent robot under deep learning in legal sentencing. The results show that the general final trial periods for cases of traffic accidents, copyright information, trademark infringement, copyright protection, and theft are 1,049, 796, 663, 847, and 201 days, respectively; while the final trial period under artificial intelligence evaluation based on the restricted Boltzmann deep learning model is 458, 387, 376, 438, and 247 days, respectively. The accuracy of trials is above 92%, showing a high application value. It can be observed that expect theft cases, the final trial period for others cases has been effectively reduced. The intelligent robot assistance under the restricted Boltzmann deep learning model can shorten the trial period of cases. The deep learning intelligent robot has a certain auxiliary role in legal sentencing, and this outcome provides a theoretical basis for the research of artificial intelligence technology in legal sentencing.

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Analyzing the justification for using generative AI technology to generate judgments based on the virtue jurisprudence theory

Zhou

2024

Journal of Decision Systems

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AI and Legal Issues

Cited by 3 publications

References 7 publications

A high-level overview of AI ethics

A high-level overview of AI ethics

Deep Learning-Based Intelligent Robot in Sentencing

Analyzing the justification for using generative AI technology to generate judgments based on the virtue jurisprudence theory

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