Ethical issues of the use of AI-driven mobile apps for education
被引:26
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作者:
Klimova, Blanka
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机构:
Univ Hradec Kralove, Fac Informat & Management, Dept Appl Linguist, Hradec Kralove, Czech RepublicUniv Hradec Kralove, Fac Informat & Management, Dept Appl Linguist, Hradec Kralove, Czech Republic
Klimova, Blanka
[1
]
Pikhart, Marcel
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机构:
Univ Hradec Kralove, Fac Informat & Management, Dept Appl Linguist, Hradec Kralove, Czech RepublicUniv Hradec Kralove, Fac Informat & Management, Dept Appl Linguist, Hradec Kralove, Czech Republic
Pikhart, Marcel
[1
]
Kacetl, Jaroslav
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h-index: 0
机构:
Univ Hradec Kralove, Fac Informat & Management, Dept Appl Linguist, Hradec Kralove, Czech RepublicUniv Hradec Kralove, Fac Informat & Management, Dept Appl Linguist, Hradec Kralove, Czech Republic
Kacetl, Jaroslav
[1
]
机构:
[1] Univ Hradec Kralove, Fac Informat & Management, Dept Appl Linguist, Hradec Kralove, Czech Republic
artificial intelligence;
mobile apps;
ethics;
ethical principles;
education;
ARTIFICIAL-INTELLIGENCE;
BIG DATA;
ACQUISITION;
D O I:
10.3389/fpubh.2022.1118116
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
Nowadays, artificial intelligence (AI) affects our lives every single day and brings with it both benefits and risks for all spheres of human activities, including education. Out of these risks, the most striking seems to be ethical issues of the use of AI, such as misuse of private data or surveillance of people's lives. Therefore, the aim of this systematic review is to describe the key ethical issues related to the use of AI-driven mobile apps in education, as well as to list some of the implications based on the identified studies associated with this research topic. The methodology of this review study was based on the PRISMA guidelines for systematic reviews and meta-analyses. The results indicate four key ethical principles that should be followed, out of which the principle of algorithmovigilance should be considered in order to monitor, understand and prevent the adverse effects of algorithms in the use of AI in education. Furthermore, all stakeholders should be identified, as well as their joint engagement and collaboration to guarantee the ethical use of AI in education. Thus, the contribution of this study consists in emphasizing the need for joint cooperation and research of all stakeholders when using AI-driven mobile technologies in education with special attention to the ethical issues since the present research based on the review studies is scarce and neglected in this respect.
机构:
Xian Jiaotong Liverpool Univ, Int Business Sch Suzhou, Dept Strateg Management & Org, 8 Chongwen Rd,Suzhou Ind Pk, Suzhou 215123, Jiangsu, Peoples R ChinaXian Jiaotong Liverpool Univ, Int Business Sch Suzhou, Dept Strateg Management & Org, 8 Chongwen Rd,Suzhou Ind Pk, Suzhou 215123, Jiangsu, Peoples R China
Xu, Cheng
Sun, Yanqi
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机构:
Beijing Inst Petrochem Technol, Sch Econ & Management, 19 Qingyuan North Rd, Beijing, Peoples R ChinaXian Jiaotong Liverpool Univ, Int Business Sch Suzhou, Dept Strateg Management & Org, 8 Chongwen Rd,Suzhou Ind Pk, Suzhou 215123, Jiangsu, Peoples R China
Sun, Yanqi
Zhou, Haibo
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h-index: 0
机构:
Univ Nottingham Ningbo China, Nottingham Business Sch China, Ningbo, Peoples R ChinaXian Jiaotong Liverpool Univ, Int Business Sch Suzhou, Dept Strateg Management & Org, 8 Chongwen Rd,Suzhou Ind Pk, Suzhou 215123, Jiangsu, Peoples R China
机构:
Univ Southern Denmark, Dept Business & Management, Campusvej 55, DK-5230 Odense M, DenmarkUniv Southern Denmark, Dept Business & Management, Campusvej 55, DK-5230 Odense M, Denmark
Baumann, Oliver
Wu, Brian
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机构:
Univ Michigan, Stephen M Ross Sch Business, Strategy Dept, 701 Tappan St, Ann Arbor, MI 48109 USAUniv Southern Denmark, Dept Business & Management, Campusvej 55, DK-5230 Odense M, Denmark