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Journal articles on the topic 'Artificial Intelligence technology'

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Published: 4 June 2021
Last updated: 15 February 2022

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1

Majumdar, B., S. C. Sarode, G. S. Sarode, and S. Patil. "Technology: Artificial intelligence." British Dental Journal 224, no. 12 (June 2018): 916. http://dx.doi.org/10.1038/sj.bdj.2018.485.

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2

D. Revathi Pandian, D. Revathi Pandian. "Artificial Intelligence Technology An Overview." International Journal of Information Systems Management Research and Development 9, no. 1 (2019): 25–30. http://dx.doi.org/10.24247/ijismrdjun20192.

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3

Ennals, Richard. "Artificial Intelligence and Educational Technology." PLET: Programmed Learning & Educational Technology 24, no. 2 (May 1987): 90–93. http://dx.doi.org/10.1080/0033039870240202.

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4

Wong, Simon C. H. "Educational technology and artificial intelligence." ACM SIGCUE Outlook 23, no. 1-2 (January 11, 1995): 17–33. http://dx.doi.org/10.1145/209878.209882.

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5

Dasgupta, Prokar. "Science, technology and artificial intelligence." BJU International 122, no. 6 (November 20, 2018): 913. http://dx.doi.org/10.1111/bju.14595.

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6

Shenoy, R. P. "Artificial Intelligence-The Emerging Technology." Defence Science Journal 35, no. 2 (January 22, 1985): 135–49. http://dx.doi.org/10.14429/dsj.35.6004.

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7

Rajaram, N. S. "Artificial intelligence: A technology review." ISA Transactions 29, no. 1 (January 1990): 1–3. http://dx.doi.org/10.1016/0019-0578(90)90023-e.

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8

Saini, Abhedya. "Artificial Intelligence a Threat." IAES International Journal of Artificial Intelligence (IJ-AI) 5, no. 3 (August 20, 2016): 117. http://dx.doi.org/10.11591/ijai.v5.i3.pp117-118.

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<p>Research in AI has built upon the tools and techniques of many different disciplines.Study in the artificial intelligence has given rise to rapidly growing technology known as expert system. Rapid development in this field made human more dependent on this technology. More advancement will lead to side effects of that technology because after a certain point, everything is harmful.</p>
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9

Kim, Kwang-Soo. "Artificial intelligence-based technology and relief." Korean Public Land Law Association 85 (February 28, 2019): 231–58. http://dx.doi.org/10.30933/kpllr.2019.85.231.

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10

VAMOS, TIBOR. "ARTIFICIAL INTELLIGENCE: HUMAN FOCUS ON TECHNOLOGY." Applied Artificial Intelligence 5, no. 2 (January 1991): 163–70. http://dx.doi.org/10.1080/08839519108927923.

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11

Brachman, Ronald J., and Fran H. Henig. "The Emergence of Artificial Intelligence Technology." AT&T Technical Journal 67, no. 1 (January 2, 1988): 3–6. http://dx.doi.org/10.1002/j.1538-7305.1988.tb00229.x.

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12

Zeba, Gordana, Marina Dabić, Mirjana Čičak, Tugrul Daim, and Haydar Yalcin. "Technology mining: Artificial intelligence in manufacturing." Technological Forecasting and Social Change 171 (October 2021): 120971. http://dx.doi.org/10.1016/j.techfore.2021.120971.

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13

Raimundo, JM, and P. Cabrita. "Artificial intelligence at assisted reproductive technology." Procedia Computer Science 181 (2021): 442–47. http://dx.doi.org/10.1016/j.procs.2021.01.189.

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14

Song, Jialu, and Yifei Li. "Artificial Intelligence and Modern Home Design." MATEC Web of Conferences 227 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201822702004.

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With the development of economy and technology and the continuous development of scientific and technological intelligence equipment, artificial intelligence has begun to enter modern home design. Artificial intelligence can greatly reduce the daily operating time and energy cost and promotes the optimization of life quality. If we say artificial intelligence’s engagement in modern home design is an irreversible trend, and the living interest of people is changed gradually by machine, intelligence emotion replaces gradually, this is perhaps a double-edged sword. The purpose of this paper is to identify the advantages of artificial intelligence application in modern home design and reflect upon its disadvantages of artificial intelligence, and look out on the prospects of the future of artificial intelligence.
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15

Wei, Jin. "Research Progress and Application of Computer Artificial Intelligence Technology." MATEC Web of Conferences 176 (2018): 01043. http://dx.doi.org/10.1051/matecconf/201817601043.

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With the development of science and technology, artificial intelligence technology has received more and more attention and attention. Under the background of the rapid development of big data and cloud computing, the artificial intelligence industry broke out. There is a huge amount of research on artificial intelligence and the artificial intelligence industry is huge. As far as the artificial intelligence industry in China is concerned, even the start is relatively late, but the industry scale, industrial layout, and technology research are all in a continuous improvement stage. Especially after the deepening of the layout of science and technology and manufacturing industries, the scale of artificial intelligence industry is further developed. More artificial intelligence products will appear at the same time. From the perspective of the concept, development history and new progress of artificial intelligence, this paper combines China’s artificial intelligence market and the development of artificial intelligence companies to analyze the current major application areas, and then further explore the future development trend of artificial intelligence.
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16

Likova-Arsenova, Vassya. "Artificial Intelligence in Education." Педагогически форум 8, no. 3 (2020): 49–56. http://dx.doi.org/10.15547/pf.2020.022.

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The article examines the impact of Information Technology (IT) and Artificial Intelligence (AI) in education, the joint design of working with high technology and the need for effective policy development. The use of AI in education is an important topic for teachers from both a conceptual and a practical point of view. Ethical challenges in the training and working with AI are on the agenda. It is necessary to adapt the educational programs for future pedagogues in regards to implementing AI in teaching and training.
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17

Djalilovich, Tashbabaey Maksud. "Combination Of Modern Science And Artificial Intelligence." American Journal of Social Science and Education Innovations 03, no. 08 (August 31, 2021): 23–26. http://dx.doi.org/10.37547/tajssei/volume03issue08-06.

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This article deals with the scientific basis of the interrelationship between science and artificial intelligence at a time when scientific innovations are evolving rapidly. Besides there is also concept of research and future prospects in the field of artificial intelligence. How the revolutionary changes in science today will use the potential of artificial intelligence in the future shows the interdependence and prospects for the development of technology and human thinking.
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18

Raczykowska, Aneta. "Artificial (un)Intelligence – an Opportunity or a Threat?" Journal of Education, Technology and Computer Science 31, no. 1 (2020): 64–69. http://dx.doi.org/10.15584/jetacomps.2020.1.9.

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The article contains considerations relating to the dynamic development of artificial intelligence, which is the fastest growing technology in the world. The article attempts to define concepts that state what intelligence and artifical intelligence is (1). It also draws attention to the development of artificial intelligence (2). All of them are closing arguments seeking answers to the question: Artificial intelligence – an opportunity or a threat? (3). It should be borne in mind that the continuous improvement of the possibilities of artificial intelligence means that it will be able to surpass human intellectually.
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19

Emin Taleh Mammadov, Emin, Hasan Panach Imanli, and Elcin Nizami Huseyn. "ARTIFICIAL INTELLIGENCE PRACTICES IN THE HEALTH SECTOR." NATURE AND SCIENCE 04, no. 05 (December 28, 2020): 21–29. http://dx.doi.org/10.36719/2707-1146/05/21-29.

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Artificial intelligence is a technology developed to make machines think like humans. Aristotle's historical artificial intelligence entered the health sector in the 1970s. The first application for artificial intelligence in the internist-1 field in health care, the Casnet expert system, and MYCIN. This technology was later introduced to many areas of health care. The main purpose of this application is for the benefit of doctors and patients. In general, applications, medical decisions, early diagnosis and treatment, drug development, and medical imaging issues deserve attention. Another important issue is the concern about the benefits of artificial intelligence, as well as the possibility of replacing the physicians in charge when medical decisions are left entirely to artificial intelligence. This study aims to provide readers with general information about the areas where artificial intelligence is used in health care. In this study, 14 applications were examined and outstanding results were observed. When doctors say that a comatose patient cannot wake up, artificial intelligence says that a comatose patient can wake up and the patient can wake up. Other advanced artificial intelligence has shown that it can detect cancer more accurately than 58 skin specialists. One study concluded that artificial intelligence with a predictive treatment approach lowered health care costs by 5 to 9% and could lead to an increase in life expectancy of 0.2 to 1.3 years. Keywords: Artificial Intelligence, Health Practices, Health Management
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20

Shi, He, Guohua Cao, Guoqing Ma, Junhua Fan, Jingsong Duan, and Jimeng Bai. "Intelligent Service Scheduling Decision Technology under Artificial Intelligence Technology." Journal of Physics: Conference Series 1986, no. 1 (August 1, 2021): 012078. http://dx.doi.org/10.1088/1742-6596/1986/1/012078.

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21

Liu, Yurong, Yang Bai, Xiongjun Li, and Hao Chen. "Multi-dimensional database technology based on artificial intelligence." MATEC Web of Conferences 336 (2021): 05001. http://dx.doi.org/10.1051/matecconf/202133605001.

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Artificial intelligence and database technology are both important fields of computer science. The research results show that more and more industries have a growing demand for artificial intelligence and database. The combination of these two technologies will certainly bring a broader prospect to computer application. This paper mainly discusses the necessity, importance and development of multi-dimensional database technology based on artificial intelligence, introduces the combination strategy of artificial intelligence and multidimensional database and the current research field, and gives the research direction.
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22

Welsh, Richard. "Defining Artificial Intelligence." SMPTE Motion Imaging Journal 128, no. 1 (January 2019): 26–32. http://dx.doi.org/10.5594/jmi.2018.2880366.

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23

Tyrranen, V. A. "ARTIFICIAL INTELLIGENCE CRIMES." Territory Development, no. 3(17) (2019): 10–13. http://dx.doi.org/10.32324/2412-8945-2019-3-10-13.

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The article is devoted to current threats to information security associated with the widespread dissemination of computer technology. The author considers one of the aspects of cybercrime, namely crime using artificial intelligence. The concept of artificial intelligence is analyzed, a definition is proposed that is sufficient for effective enforcement. The article discusses the problems of criminalizing such crimes, the difficulties of solving the issue of legal personality and delinquency of artificial intelligence are shown. The author gives various cases, explaining why difficulties arise in determining the person responsible for the crime, gives an objective assessment of the possibility of criminal prosecution of the creators of the software, in the work of which there were errors that caused harm to the rights protected by criminal law and legitimate interests.
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24

Li, H. Y., J. T. An, and Y. Zhang. "Ethical Problems and Countermeasures of Artificial Intelligence Technology." E3S Web of Conferences 251 (2021): 01063. http://dx.doi.org/10.1051/e3sconf/202125101063.

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The in-depth development of artificial intelligence has brought great benefits and convenience to humankind. However, it also brings about ethical crises such as human rights, responsibility, generation, information, prejudice, which are worthy of our attention. Therefore, we should deepen the scientific and technological ethics under the guidance of Marxism, construct artificial intelligence ethical standards, strengthen the supervision of artificial intelligence, enhance the public ethical concepts, so that artificial intelligence can really cope with the risks and challenges under the guidance of scientific and technological ethics, and grasp the development opportunities of The Times.
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25

Reggia, James A., Garrett E. Katz, and Gregory P. Davis. "Artificial Conscious Intelligence." Journal of Artificial Intelligence and Consciousness 07, no. 01 (March 2020): 95–107. http://dx.doi.org/10.1142/s270507852050006x.

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The field of artificial consciousness (AC) has largely developed outside of mainstream artificial intelligence (AI), with separate goals and criteria for success and with only a minimal exchange of ideas. This is unfortunate as the two fields appear to be synergistic. For example, here we consider the question of how concepts developed in AC research might contribute to more effective future AI systems. We first briefly discuss several past hypotheses about the function(s) of human consciousness, and present our own hypothesis that short-term working memory and very rapid learning should be a central concern in such matters. In this context, we then present ideas about how integrating concepts from AC into AI systems to develop an artificial conscious intelligence (ACI) could both produce more effective AI technology and contribute to a deeper scientific understanding of the fundamental nature of consciousness and intelligence.
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26

Lin, Hai Yun, Yu Jiao Wang, and Jian Chun Cai. "Image Recognition Technology Based on Artificial Intelligence." Applied Mechanics and Materials 347-350 (August 2013): 3537–40. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3537.

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In respect of the classification of current image retrieval technology and the existing issues, the paper put forward a method designed for image semantic feature extraction based on artificial intelligence. The new method has solved the tough problem of image semantic feature extraction, by fusing fuzzy logic, genetic algorithm and artificial neural network altogether, which greatly improved the efficiency and accuracy of image retrieval.
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27

Hido, Shohei. "Artificial Intelligence Technology for Industrial Robot Applications." Journal of the Robotics Society of Japan 35, no. 3 (2017): 186–90. http://dx.doi.org/10.7210/jrsj.35.186.

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28

Bledzhyants, G. A., M. A. Sarkisyan, Y. A. Isakova, N. A. Tumanov, A. N. Popov, and N. S. Begmurodova. "Key technology for artificial intelligence in medicine." Remedium. Journal about the Russian market of medicines and medical equipment, no. 12 (2015): 10–15. http://dx.doi.org/10.21518/1561-5936-2015-12-10-15.

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29

Gorodetsky, V. I., and R. M. Yusupov. "Artificial Intelligence: Metaphor, Science and Information Technology." Mekhatronika, Avtomatizatsiya, Upravlenie 21, no. 5 (May 8, 2020): 282–94. http://dx.doi.org/10.17587/mau.21.282-293.

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30

Yuvaraj, H. "Artificial Intelligence – An Emerging Trend of Technology." Management Accountant Journal 54, no. 3 (March 1, 2019): 51. http://dx.doi.org/10.33516/maj.v54i3.51-54p.

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31

Stern, Simon. "Introduction: Artificial intelligence, technology, and the law." University of Toronto Law Journal 68, supplement 1 (January 2018): 1–11. http://dx.doi.org/10.3138/utlj.2017-0102.

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32

Tan, Lorwai, David Tivey, Helena Kopunic, Wendy Babidge, Sally Langley, and Guy Maddern. "Part 1: Artificial intelligence technology in surgery." ANZ Journal of Surgery 90, no. 12 (September 30, 2020): 2409–14. http://dx.doi.org/10.1111/ans.16343.

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33

Kawamura, Naoki, and Koichi Suzuki. "Introduction and Utilization of Artificial Intelligence Technology." JAPAN TAPPI JOURNAL 74, no. 3 (2020): 203–7. http://dx.doi.org/10.2524/jtappij.74.203.

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34

Berawi, Mohammed Ali. "Managing Artificial Intelligence Technology for Added Value." International Journal of Technology 11, no. 1 (January 24, 2020): 1. http://dx.doi.org/10.14716/ijtech.v11i1.3889.

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35

Ohsuga, Setsuo. "Artificial intelligence as New Generation Computing technology." New Generation Computing 4, no. 3 (September 1986): 223–24. http://dx.doi.org/10.1007/bf03037404.

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36

Tabandeh, Amir S. "Characterising Artificial Intelligence technology for international transfer." AI & Society 8, no. 4 (December 1994): 315–25. http://dx.doi.org/10.1007/bf01195055.

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37

Lyu, Yue-Guang. "Artificial Intelligence: Enabling Technology to Empower Society." Engineering 6, no. 3 (March 2020): 205–6. http://dx.doi.org/10.1016/j.eng.2020.01.005.

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38

Dinnar, Samuel “Mooly”, Chris Dede, Emmanuel Johnson, Carrie Straub, and Kristjan Korjus. "Artificial Intelligence and Technology in Teaching Negotiation." Negotiation Journal 37, no. 1 (January 2021): 65–82. http://dx.doi.org/10.1111/nejo.12351.

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39

Wang, Xinyi, Liyu Zhang, and Luhan Yang. "Artificial intelligence and database technology work together." Journal of Physics: Conference Series 1955, no. 1 (June 1, 2021): 012004. http://dx.doi.org/10.1088/1742-6596/1955/1/012004.

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40

Dede, Christopher. "Artificial intelligence applications to high-technology training." ECTJ 35, no. 3 (September 1987): 163–81. http://dx.doi.org/10.1007/bf02793844.

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41

Gautier, Thibault, Leah B. Ziegler, Matthew S. Gerber, Enrique Campos-Náñez, and Stephen D. Patek. "Artificial intelligence and diabetes technology: A review." Metabolism 124 (November 2021): 154872. http://dx.doi.org/10.1016/j.metabol.2021.154872.

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42

Mandi, Riteesh M. "Artificial Intelligence: The Technology that Changes Business." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 54–57. http://dx.doi.org/10.22214/ijraset.2021.34036.

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43

Ambrus, Éva. "Artificial Intelligence as a Dual-use Technology." Academic and Applied Research in Military and Public 19, no. 2 (2020): 19–28. http://dx.doi.org/10.32565/aarms.2020.2.2.

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The aim of this article is to give an overview of the state of artificial intelligence regarding malware attacks, its uses in the military and views regarding if it should be classified as a dual-use technology. As an emerging technology, with a wide variety of use and capabilities, more could be done to overview its uses, and some form of control over it. While the classical exports control might be counterproductive, a more closed approach towards critical information dissemination might be advisable until the full range of capabilities of artificial intelligence will be known.
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44

MR, Anoop. "ARTIFICIAL INTELLIGENCE AND MARKETING." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (April 11, 2021): 1247–56. http://dx.doi.org/10.17762/turcomat.v12i4.1184.

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Artificial intelligence (AI) has grown in recent years in many fields: research, industry, pharmaceuticals, automobile and education. In marketing, AI has also been effective. The aim of this article is to explore the usage and effect of AI in marketing. The authors posed two study concerns - which fields are applied to AI marketing and how AI impacts marketers. The authors carried out secondary data investigations with samples of AI used for marketing purposes in order to address these queries. The review of the illustration given demonstrates, while the implementations are manual, that AI is broadly integrated in marketing. This may be a result of the latest technologies being implemented cautiously and experimentally. Uncertainty about the AI implementation outcomes can influence the caution when applying these developments. In the position of marketing managers, the emerging AI assistants often participate as the results of the survey reveal that they are becoming an increasingly valuable delivery platform such that products are increasingly important. The findings of this analysis show that improving the AI assistants would also be important. The benefit of competition is therefore reduced to a hygiene consideration inasmuch as the search engine optimization is optimised and saturated for each operator. Brand design would once again become an essential criterion for customer decision-making. Moreover, because consumer data collection is an essential component in the usage of AI technology in marketing, the results demonstrate that marketing managers strive more and more to enforce consistent customer policy. Furthermore, the growing usage of AI technology often requires sufficient technical expertise from marketing managers. For example, in both facets of the marketing mix, AI influences both the distribution of customer value and the marketing and management. In specific proposals for marketing AI deployment, innovation design and perspectives into how new capabilities may be incorporated into the new technology marketing team have consequences for the business.
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45

Reed, Chris. "How should we regulate artificial intelligence?" Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376, no. 2128 (August 6, 2018): 20170360. http://dx.doi.org/10.1098/rsta.2017.0360.

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Using artificial intelligence (AI) technology to replace human decision-making will inevitably create new risks whose consequences are unforeseeable. This naturally leads to calls for regulation, but I argue that it is too early to attempt a general system of AI regulation. Instead, we should work incrementally within the existing legal and regulatory schemes which allocate responsibility, and therefore liability, to persons. Where AI clearly creates risks which current law and regulation cannot deal with adequately, then new regulation will be needed. But in most cases, the current system can work effectively if the producers of AI technology can provide sufficient transparency in explaining how AI decisions are made. Transparency ex post can often be achieved through retrospective analysis of the technology's operations, and will be sufficient if the main goal is to compensate victims of incorrect decisions. Ex ante transparency is more challenging, and can limit the use of some AI technologies such as neural networks. It should only be demanded by regulation where the AI presents risks to fundamental rights, or where society needs reassuring that the technology can safely be used. Masterly inactivity in regulation is likely to achieve a better long-term solution than a rush to regulate in ignorance. This article is part of a discussion meeting issue ‘The growing ubiquity of algorithms in society: implications, impacts and innovations'.
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46

Wang, Gang Quan. "Research on Artificial Intelligence Technology of Electrical Automation Control." Applied Mechanics and Materials 624 (August 2014): 469–72. http://dx.doi.org/10.4028/www.scientific.net/amm.624.469.

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Progress of society and human longevity require more developed productive forces and more intelligent human economic life in order to save precious human time. Innovation in the field of electrical automation control needs artificial human support, and artificial intelligence advantage in terms of automation and control in this area are indeed able to get great play. This paper describes the connotation and characteristics of artificial intelligence technology. As well as the status of electrical automation control artificial intelligence technology. The applications of artificial intelligence technology are analyzed and discussed in the electric automation industry. Electrical automated production widely uses artificial intelligence technology to improve the productivity of electronic devices, reduce the harsh production costs, and improve production efficiency and competitiveness, which is an important guarantee for long-term development. The applications of artificial intelligence technology promote the development and progress of automation and solve difficult control problems.
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47

Gao, Song, Peng Chan, and Nasim Hosein. "Artificial Intelligence Applications in Investments." 11th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 11, no. 1 (December 9, 2020): 114. http://dx.doi.org/10.35609/gcbssproceeding.2020.11(114).

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This paper investigates the increasing use of artificial intelligence in the field of investments today. It seeks to explore how artificial intelligence strategies can help investors make better investment decisions as well as highlight the risks posed by the use of artificial intelligence. In the digital era, transformational technology is powering new forms of automation that are more universal and smarter than ever before. The technology has not only changed significant operational aspects such as logistics, manufacturing, and warehousing but also the investment industry at large. Technologies associated with artificial intelligence help in performing tasks commonly associated with human beings such as logical operations, visual operations, speech recognition, visual perceptions, language translation and decision-making. Today, Computer technology has the capabilities of trouncing human intelligence in solving complex computations in shorter periods. The same technique can be replicated in investment in problem solving, decision-making and risk management. For instance, artificial intelligence tools helps in making faster precise assessment of potential borrowers at minimal cost which accounts for better informed and data backed decision that reduces human bias. Keywords: Artificial intelligence; Investments
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Cho, Sungrim, Woochang Shin, Neunghoe Kim, Jongwook Jeong, and Hoh Peter In. "Priority Determination to Apply Artificial Intelligence Technology in Military Intelligence Areas." Electronics 9, no. 12 (December 18, 2020): 2187. http://dx.doi.org/10.3390/electronics9122187.

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The Ministry of National Defense of South Korea is currently acquiring various surveillance and reconnaissance assets to improve its independent surveillance and reconnaissance capabilities. With the deployment of new strategic and tactical surveillance and reconnaissance assets, the amount of information collected will increase significantly, and military intelligence capable of handling greater complexity will be needed to process such information. As a consequence, it will no longer be possible to handle the increased workload through a manual analysis conducted by intelligence analysists. Further, the number of intelligence analysists is expected to decrease in the near future owing to a reduction in the total number of troops, thereby exacerbating the need to apply artificial intelligence technology to process military intelligence tasks more quickly and accurately. In this study, a method is introduced for determining the ways to prioritize the AI technology domains applied to military intelligence. Consequently, among the five stages used, the processing stage has the highest priority. The application of AI technology to all the stages of information circulation may be ideal. Nevertheless, among various military intelligence domains, the one that affords the highest effectiveness of such an application should be prioritized. This is owing to resource and defense budget limitations.
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49

Siau, Keng, and Weiyu Wang. "Artificial Intelligence (AI) Ethics." Journal of Database Management 31, no. 2 (April 2020): 74–87. http://dx.doi.org/10.4018/jdm.2020040105.

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Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept of “machine ethics” was proposed around 2006, AI ethics is still in the infancy stage. AI ethics is the field related to the study of ethical issues in AI. To address AI ethics, one needs to consider the ethics of AI and how to build ethical AI. Ethics of AI studies the ethical principles, rules, guidelines, policies, and regulations that are related to AI. Ethical AI is an AI that performs and behaves ethically. One must recognize and understand the potential ethical and moral issues that may be caused by AI to formulate the necessary ethical principles, rules, guidelines, policies, and regulations for AI (i.e., Ethics of AI). With the appropriate ethics of AI, one can then build AI that exhibits ethical behavior (i.e., Ethical AI). This paper will discuss AI ethics by looking at the ethics of AI and ethical AI. What are the perceived ethical and moral issues with AI? What are the general and common ethical principles, rules, guidelines, policies, and regulations that can resolve or at least attenuate these ethical and moral issues with AI? What are some of the necessary features and characteristics of an ethical AI? How to adhere to the ethics of AI to build ethical AI?
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50

Huang, Jian, Gang Shen, and Xiping Ren. "Connotation Analysis and Paradigm Shift of Teaching Design under Artificial Intelligence Technology." International Journal of Emerging Technologies in Learning (iJET) 16, no. 05 (March 16, 2021): 73. http://dx.doi.org/10.3991/ijet.v16i05.20287.

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The influence of artificial intelligence technology on teaching design is explored to improve teaching efficiency. First, artificial intelligence is introduced and its impacts on teaching design are analyzed. Second, the connotation of the paradigm of teaching design and the paradigm shift for teaching design are explored using the paradigm shift analysis framework. Finally, the changes in teaching design under artificial intelligence are analyzed, and the impacts of artificial intelligence on teaching activities are investigated. The results show that the application of artificial intelligence technology has led to different levels of change in the six elements of teaching design, including teaching objectives, service objects (teachers and students), teaching content, teaching media, teaching environment, and teaching evaluation. The connotation and paradigm shift of the teaching design are introduced from the four elements based on the artificial intelligence technology. It is found that artificial intelligence technology can enhance the learning ability and cognitive ability of students to a certain extent while improving the teaching efficiency and learning efficiency. The investigation proves that the teaching design based on artificial intelligence technology can be applied to teaching activities, thereby improving the learning efficiency of students and the teaching efficiency of teachers.
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