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Obolentsev, V. F..
    Automated decision-making support system for qualification of criminal offenses as an element of human rights health protection systems [Text] / V. F. Obolentsev, O. M. Hutsa, D. V. Yelchaninov // Wiadomosci lekarskie. - 2021. - Vol. 74, Iss. 11, cz. 2. - P. 2884-2890
   Перевод заглавия: Автоматизована система підтримки прийняття рішень щодо кваліфікації кримінальних правопорушень як елемента систем охорони здоров’я прав людини

УДК

343.9

РУБ PMID: 35029550 + DOI: 10.36740/WLek202111204

Аннотация: OBJECTIVE: The aim: 1) To develop an informative model of the process of automated qualification of criminal offenses against human health for countries with a continental legal system; 2) on the basis of information model to create a decision support system in the form of a software product in terms of qualification of a criminal offense against human health. PATIENTS AND METHODS: Materials and methods: The information model of the process of automated qualification of a criminal offense against human health was developed using the BPMN method on the basis of European countries' legislation with a continental legal system. According to the information model, a decision support system was developed in the form of a software product. RESULTS: Results: 1. An information model of the process of automated qualification of criminal offenses against human health for countries with a continental legal system has been developed. 2. A system of decision support in the form of a software product as an element of law enforcement in terms of qualification of a criminal offense against human health. CONCLUSION: Conclusions: The proposed decision support system for automated qualification is a means of preventing unreasonable qualification of committed offenses as it minimizes the errors of this process. As a result, it will increase the preventive effect and the quality of law enforcement work to prevent crimes against human health.

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Pashkov, V. .
    Stand-alone software as a medical device: qualification and liability issues [Електронний ресурс] / V. Pashkov, A. Harkusha, Y. Harkusha // Wiadomosci Lekarskie. - 2020. - Vol. 73, Iss. 10. - P. 2282-2288
   Перевод заглавия: Автономне програмне забезпечення як медичний пристрій: питання кваліфікації та відповідальності

УДК

004.4

РУБ DOI: https://doi.org/10.36740/WLek202010134

Аннотация: Through a broad literature review, analysis of EU, USA and Ukraine regulation acts, scientific researches and opinions of progressive-minded people in this sphere this paper provide a guide to understanding the essence of stand-alone software as a medical device and specifics of its regulation. It is based on dialectical, comparative, analytic, synthetic and comprehensive methods.

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Karchevskyi, M. .
    Ukrainian report on traditional criminal law categories and AI [Електронний ресурс] / M. Karchevskyi, O. Radutniy // Revue Internationale de Droit Penal. - 2023. - Vol. 2023. - P. 363-383. - [DOI відсутній]
   Перевод заглавия: Український звіт про традиційні кримінально-правові категорії та ШІ

УДК	343.2.01:004.8

Аннотация: At the request of the International Association of Criminal Law (AIDP-IAPL, Association International de Droit Pénal, Paris, France) within the framework of the XXI International Congress of Criminal Law "Artificial Intelligence and Criminal Justice", a subgroup of the Ukrainian national group of AIDP-IAPL in two scientists prepared detailed answers to questions about: definition and legal qualification of Artificial Intelligence system; existing criminal offences and criminalization; applicability and adaptation of Traditional Criminal Law Categories. The report describes also the academic debate around these issues, specifically focusing on the principle of culpability nullum crimen sine culpa and mens rea. Indeed, the compliance with the principle of culpability is particularly challenging when the output causing the harm generated by the intelligent machine is neither wanted nor predictable by the human agent, as well as when an AI system is intentionally used by a human agent as a tool but the AI system carries out an offence different from the one wanted by the human agent. The report also describes the necessary adjustments of policies and preventive measures within private organizations in order to guarantee a correct and regular use of AI systems, as well as the alternatives to criminalization and noncriminal sources.

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