Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border
Despite various initiatives taken by the government, Malaysia shows a trend of increasing migrant smuggling. Weaknesses in the border control management have resulted in the escape of smugglers at the border gate. Thus, this article aims to assess the potential application of artificial intelligence...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
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| Online Access: | http://journalarticle.ukm.my/24675/ http://journalarticle.ukm.my/24675/1/%5B54-65%5D%2076662-267930-1-PB.pdf |
| _version_ | 1848816156970844160 |
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| author | Norilyani Md Nor, Marina Abdul Majid, Andika Ab. Wahab, |
| author_facet | Norilyani Md Nor, Marina Abdul Majid, Andika Ab. Wahab, |
| author_sort | Norilyani Md Nor, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Despite various initiatives taken by the government, Malaysia shows a trend of increasing migrant smuggling. Weaknesses in the border control management have resulted in the escape of smugglers at the border gate. Thus, this article aims to assess the potential application of artificial intelligence (AI) technology at the Malaysia-Thailand land border in enhancing border security. Based on a series of interviews with relevant ministries, enforcement agencies, technology experts, academic experts and other stakeholders, as well as secondary sources, this study found that AI technology has the potential to overcome issues pertaining to weak border control management faced by the Royal Malaysian Police (RMP), the main enforcement agency that manages the Malaysia-Thailand land border along with other enforcement agencies. Among the issues are a lack of enforcement, integrity concerns and limited manpower to control Malaysia’s porous borders. However, some strategies should be taken to adapt AI to our border security system. Thus, this article analyses the concept of Integrated Border Management (IBM) to obtain coordination and cooperation among all relevant authorities and countries involved in the adaptation of AI technology at the Malaysia-Thailand land border. This article also analyses how Malaysia should respond to the ethical implications of AI technology. This study will help promote a cross-border collaboration network between Malaysia and related foreign countries in dealing with migrant smuggling issues. |
| first_indexed | 2025-11-15T01:01:24Z |
| format | Article |
| id | oai:generic.eprints.org:24675 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:01:24Z |
| publishDate | 2024 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:246752025-01-10T03:32:46Z http://journalarticle.ukm.my/24675/ Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border Norilyani Md Nor, Marina Abdul Majid, Andika Ab. Wahab, Despite various initiatives taken by the government, Malaysia shows a trend of increasing migrant smuggling. Weaknesses in the border control management have resulted in the escape of smugglers at the border gate. Thus, this article aims to assess the potential application of artificial intelligence (AI) technology at the Malaysia-Thailand land border in enhancing border security. Based on a series of interviews with relevant ministries, enforcement agencies, technology experts, academic experts and other stakeholders, as well as secondary sources, this study found that AI technology has the potential to overcome issues pertaining to weak border control management faced by the Royal Malaysian Police (RMP), the main enforcement agency that manages the Malaysia-Thailand land border along with other enforcement agencies. Among the issues are a lack of enforcement, integrity concerns and limited manpower to control Malaysia’s porous borders. However, some strategies should be taken to adapt AI to our border security system. Thus, this article analyses the concept of Integrated Border Management (IBM) to obtain coordination and cooperation among all relevant authorities and countries involved in the adaptation of AI technology at the Malaysia-Thailand land border. This article also analyses how Malaysia should respond to the ethical implications of AI technology. This study will help promote a cross-border collaboration network between Malaysia and related foreign countries in dealing with migrant smuggling issues. Penerbit Universiti Kebangsaan Malaysia 2024-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/24675/1/%5B54-65%5D%2076662-267930-1-PB.pdf Norilyani Md Nor, and Marina Abdul Majid, and Andika Ab. Wahab, (2024) Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border. e-Bangi Journal of Social Sciences and Humanities, 21 (4). pp. 54-65. ISSN 1823-884x http://ejournal.ukm.my/ebangi/index |
| spellingShingle | Norilyani Md Nor, Marina Abdul Majid, Andika Ab. Wahab, Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border |
| title | Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border |
| title_full | Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border |
| title_fullStr | Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border |
| title_full_unstemmed | Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border |
| title_short | Leveraging artificial intelligence (AI) technology for enhanced border surveillance at the Malaysia-Thailand land border |
| title_sort | leveraging artificial intelligence (ai) technology for enhanced border surveillance at the malaysia-thailand land border |
| url | http://journalarticle.ukm.my/24675/ http://journalarticle.ukm.my/24675/ http://journalarticle.ukm.my/24675/1/%5B54-65%5D%2076662-267930-1-PB.pdf |