Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review
This review discusses the legal aspects on the use of mathematical statistics and machine learning (hereinafter referred to as artificial intelligence) in forensic activities to identify both expert errors and fake expert opinions. An attempt has been made to establish the criteria for evaluating...
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| Format: | Article |
| Language: | English |
| Published: |
Eco-vector
2023-10-01
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| Series: | Судебная Медицина |
| Subjects: | |
| Online Access: | https://for-medex.ru/jour/article/viewFile/8270/pdf |
| _version_ | 1797632547600990208 |
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| author | Denis V. Voyevodkin Gauhar R. Rustemova Yernar N. Begaliyev Kussain A. Igembayev Zauresh N. Ayupova |
| author_facet | Denis V. Voyevodkin Gauhar R. Rustemova Yernar N. Begaliyev Kussain A. Igembayev Zauresh N. Ayupova |
| author_sort | Denis V. Voyevodkin |
| collection | DOAJ |
| description | This review discusses the legal aspects on the use of mathematical statistics and machine learning (hereinafter referred to as artificial intelligence) in forensic activities to identify both expert errors and fake expert opinions.
An attempt has been made to establish the criteria for evaluating conclusions of forensic examinations by determining their relevance, admissibility, reliability, and objectivity, as well as the objective possibility of distinguishing expert errors from deliberately false and fake expert opinions.
A SWOT analysis on the use of artificial intelligence was carried out to solve the issue of its application in the field under consideration, which revealed its advantages, and disadvantages.
The use of mathematical statistics and machine learning methods is not a universal method to identify fakes in expert opinions. However, given that this method can give both false-positive and false-negative results, its outcomes should be verified by independent experts. In addition, to effectively prevent the facts of falsification, comprehensive measures should be taken, including not only the detection of manipulations but also the prevention of the possibility of their occurrence, as well as the punishment of the perpetrators. Thus, this review proposed several amendments and additions to the current legislation of the Republic of Kazakhstan. |
| first_indexed | 2024-03-11T11:39:31Z |
| format | Article |
| id | doaj.art-5a26e159aae8402998d903c5f61f0780 |
| institution | Directory Open Access Journal |
| issn | 2411-8729 2409-4161 |
| language | English |
| last_indexed | 2024-03-11T11:39:31Z |
| publishDate | 2023-10-01 |
| publisher | Eco-vector |
| record_format | Article |
| series | Судебная Медицина |
| spelling | doaj.art-5a26e159aae8402998d903c5f61f07802023-11-10T07:45:41ZengEco-vectorСудебная Медицина2411-87292409-41612023-10-019328729810.17816/fm8270420Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a ReviewDenis V. Voyevodkin0https://orcid.org/0000-0002-1763-1808Gauhar R. Rustemova1https://orcid.org/0009-0001-4002-9815Yernar N. Begaliyev2https://orcid.org/0000-0001-6659-8576Kussain A. Igembayev3https://orcid.org/0009-0008-9436-7722Zauresh N. Ayupova4https://orcid.org/0009-0005-3152-8531Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of KazakhstanThe Almaty Academy of the Ministry of Internal Affairs of the Republic of KazakhstanAcademy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of KazakhstanAkimat of AstanaAcademy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of KazakhstanThis review discusses the legal aspects on the use of mathematical statistics and machine learning (hereinafter referred to as artificial intelligence) in forensic activities to identify both expert errors and fake expert opinions. An attempt has been made to establish the criteria for evaluating conclusions of forensic examinations by determining their relevance, admissibility, reliability, and objectivity, as well as the objective possibility of distinguishing expert errors from deliberately false and fake expert opinions. A SWOT analysis on the use of artificial intelligence was carried out to solve the issue of its application in the field under consideration, which revealed its advantages, and disadvantages. The use of mathematical statistics and machine learning methods is not a universal method to identify fakes in expert opinions. However, given that this method can give both false-positive and false-negative results, its outcomes should be verified by independent experts. In addition, to effectively prevent the facts of falsification, comprehensive measures should be taken, including not only the detection of manipulations but also the prevention of the possibility of their occurrence, as well as the punishment of the perpetrators. Thus, this review proposed several amendments and additions to the current legislation of the Republic of Kazakhstan.https://for-medex.ru/jour/article/viewFile/8270/pdfexpert opinionartificial intelligenceforgeryfalsificationexpert errors |
| spellingShingle | Denis V. Voyevodkin Gauhar R. Rustemova Yernar N. Begaliyev Kussain A. Igembayev Zauresh N. Ayupova Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review Судебная Медицина expert opinion artificial intelligence forgery falsification expert errors |
| title | Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review |
| title_full | Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review |
| title_fullStr | Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review |
| title_full_unstemmed | Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review |
| title_short | Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review |
| title_sort | identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the republic of kazakhstan a review |
| topic | expert opinion artificial intelligence forgery falsification expert errors |
| url | https://for-medex.ru/jour/article/viewFile/8270/pdf |
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