Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review

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Abstract

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.

About the authors

Denis V. Voyevodkin

Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of Kazakhstan

Author for correspondence.
Email: voevodkin.denis@gmail.com
ORCID iD: 0000-0002-1763-1808
SPIN-code: 5512-0338
Kazakhstan, Kosshy

Gauhar R. Rustemova

The Almaty Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan

Email: g.rustemova@mail.ru
ORCID iD: 0009-0001-4002-9815
SPIN-code: 3793-6920

Dr. Sci. (Jurisprud.), Professor

Kazakhstan, Almaty

Yernar N. Begaliyev

Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of Kazakhstan

Email: ernar-begaliev@mail.ru
ORCID iD: 0000-0001-6659-8576

Dr. Sci. (Jurisprud.), Professor

Kazakhstan, Kosshy

Kussain A. Igembayev

Akimat of Astana

Email: kussain-igembaev@mail.ru
ORCID iD: 0009-0008-9436-7722
Kazakhstan, Astana

Zauresh N. Ayupova

Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of Kazakhstan

Email: zauresh.ayupova@bk.ru
ORCID iD: 0009-0005-3152-8531
Kazakhstan, Kosshy

References

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