Artificial intelligence-enabled safety technologies have proliferated across transportation, industrial, healthcare, and public infrastructure domains over the past decade. This systematic review and meta-analysis quantifies the measurable impact of AI-driven safety interventions on accident prevention and public risk mitigation. Drawing from 127 peer-reviewed studies, industry reports, we analyze effectiveness metrics including accident reduction rates, false positive/negative ratios, response time improvements, and cost-benefit outcomes. Our findings demonstrate that AI-enabled safety systems achieve an average 34.7% reduction in preventable accidents across analyzed domains, with significant variation by sector (range: 18-61%). Advanced driver assistance systems show the highest impact (42-61% accident reduction), while industrial predictive maintenance systems demonstrate 31-38% reductions in critical failures. However, implementation challenges including algorithmic bias, transparency deficits, and human-AI interaction failures partially offset these gains. We propose a standardized framework for evaluating AI safety technology effectiveness and identify critical research gaps in long-term reliability assessment and ethical deployment considerations.
Occupational safety at uranium mining enterprises remains one of the key components of sustainable industrial development. In conditions of high risks associated with the operation of uranium deposits using the in-situ leaching method, a systematic approach to accident prevention and the formation of a safety culture becomes particularly important. The objective of this study is to analyze occupational injuries at JSC «NAC Kazatomprom» for the period 2019–2024, with an assessment of the effectiveness of applied occupational safety tools, including the implementation of the Vision Zero concept, behavioral audits, the use of digital monitoring solutions, and active personnel training. The methodological basis consisted of integrated annual reports, LTIFR (Lost Time Injury Frequency Rate) indicators, quantitative analysis of accidents and their trends, as well as qualitative assessment of the corporate safety culture at the enterprises. The results of the analysis indicate a pronounced positive trend: while in 2019 there were 8 accidents and the LTIFR was 0, 24, by 2024 these indicators had decreased to 3 accidents and an LTIFR of 0, 09, respectively. The most critical year was 2021 (9 accidents, LTIFR – 0, 55), after which a steady improvement has been observed since 2022. The systemic measures implemented by the company have reduced the injury frequency by more than 2,5 times. The obtained results demonstrate the success of JSC «NAC Kazatomprom»’s strategic approach to occupational safety and confirm the compliance of implemented practices with international standards. The company not only reduces operational risks but also develops a mature safety culture by engaging employees in risk management. The experience of JSC «NAC Kazatomprom» can be recommended for replication at other enterprises in the industry. In the future, it is advisable to expand digital monitoring, involve personnel in safety initiatives, and further consolidate the principles of Vision Zero in corporate policy.
Sergio López-García, Brais Ruibal-Lista, Alba González-Palomares
et al.
Drowning is considered a global public health problem, and rip currents are responsible for numerous emergencies on beaches worldwide. The literature indicates a significant lack of knowledge and training among the population regarding rip currents and aquatic safety. The purpose of this study was to examine whether a training program on aquatic safety education can help prevent drownings and enhance knowledge about rip currents. A total of 93 university students completed a 60 min training program led by lifeguard instructors. A questionnaire focused on sea safety content, specifically on rip currents, was administered in three different phases: before the educational session (PT), one week after (T1), and eight weeks after the training (T2). Before the training, 34.4% of the participants had difficulties identifying the correct swimming zone (zones 1, 7, and 8). However, after the training, this percentage significantly increased to 84.9% at T1 and 79.6% at T2. Significant differences were also observed in the four variables analyzed: selection of the swimming zone (x<sup>2</sup> = 24.143; <i>p</i> < 0.001), definition (x<sup>2</sup> = 47.643; <i>p</i> < 0.001), identification (x<sup>2</sup> = 95.051; <i>p</i> < 0.001), and response to a rip current (x<sup>2</sup> = 21.918; <i>p</i> < 0.001). A 60 min training session can have a positive effect and significantly increase knowledge on how to define, identify, and respond to a situation involving rip currents. These findings reinforce the value of training, providing a solid foundation for drowning prevention.
Industrial safety. Industrial accident prevention, Medicine (General)
Ouma S. Mokwena, Thabiso J. Morodi, Joyce Shirinde
Women in mining face unique health and safety challenges due to anatomical and physiological differences, making the assessment and management of ergonomic risks in underground coal mines critical. This study examines the ergonomic experiences of female mineworkers through six focus-group discussions, each comprising eight participants, using a qualitative research design involving women actively engaged in core mining activities at three South African mines. Findings reveal that mining equipment and work environments often fail to accommodate the physiological needs of female workers, exposing them to a range of ergonomic hazards. Beyond physical risks, the study highlights organizational and systemic shortcomings, including inadequate implementation of existing policies and regulations. Poor hygiene in toilet facilities was also reported, with three out of eight participants taking medication for urinary tract infections, underscoring gaps in occupational health provision. The findings emphasize the urgent need for mine-specific ergonomic programs developed through participatory approaches, as part of a broader strategy to prevent musculoskeletal injuries and improve working conditions for female mineworkers. The establishment of the Women in Mining Forum further indicates that the industry is not yet fully prepared to support women in underground mining, highlighting the need for targeted interventions to create a safer, more inclusive work environment.
Industrial safety. Industrial accident prevention, Medicine (General)
Background and objective In scientific texts on crisis management in Iran, crisis mostly refers to natural disasters and less attention has been made to man-made disasters. In this article, by emphasizing three prediction, prevention, and preparation phase of crisis management, we aim to identify the driving factors and the consequences of mainstream media’s effective activism in managing socio-political crises in Iran.
Method This is a qualitative study. The participants were 15 media policymakers, experts in the field of crisis management, and politicians in the field of socio-political affairs in Iran, who were selected by purposive and snowball sampling methods and semi-structured interviews continued until reaching until reaching theoretical saturation. The data analysis method was the thematic content analysis.
Results From a total of 250 initial codes, 159 basic themes, 26 organizing themes, and 8 global themes were obtained. Based on the findings, the role of the media in socio-political crisis management before, during, and after the crisis included supporting public opinion, raising awareness, holding responsible institutions accountable, informing, and having strategic function. The factors driving effective media activism in predicting socio-political crises included infrastructure drivers, functional capability, human resources, professional standards, and social capital. The consequences of effective media activism in predicting socio-political crises were: Social, political, and media’s social responsibility-related consequences. The factors driving effective media activism in preventing socio-political crises were divided into the drivers related to the public and the drivers related to the government/crisis managers. The consequences of effective media activism in preventing socio-political crises were divided into macro and micro consequences. The factors driving effective media activism in preparing for socio-political crises included process-related, content-related, and contextual drivers. The consequences of effective media activism in preparing for socio-political crises were categorized into three areas: Educational, psychological, and functional outcomes.
Conclusion The mainstream media in Iran can have effective activism in predicting, preventing, and preparing for social-political crises.
Risk in industry. Risk management, Industrial safety. Industrial accident prevention
The government has implemented the Serious Accidents Punishment Act as a regulatory measure to reduce industrial accidents. However, the industrial accident rate has not shown a significant decline. This study develops practical safety and health strategies for S Construction Company by analyzing 220 industrial accident cases over three years. A review of previous studies identified six key independent variables significantly affecting industrial accidents: day of the week, work time, construction progress rate, worker age, length of service, and work experience. These variables were analyzed using one-way ANOVA, and the Tukey HSD post-hoc test was conducted to validate significant differences. As a result of the analysis by independent variable, by day of the week (p=1.83E-06), by working hours (p=8.91E-23), by process rate (p=1.4E-17), by age (p=1.08E-21), by period of service (p=8.99E-10), and by experience (p=5.28E-19), and significant results were also confirmed by post-test. Through these results, first, a work environment improvement program was needed on a specific day. Second, management supervision had to be strengthened for a specific time period. Third, a management supervision plan had to be established according to the public welfare rate. Fourth, a physical fitness test program had to be operated at age. Fifth, it was necessary to support the rapid adaptation of new workers according to the period of service. Finally, it was necessary to provide customized safety education according to career. In the future, construction companies expect the effect of preventing industrial accidents by establishing and implementing safety and health strategies based on the results derived from this study.
Blanca Janeth, Guaman Morocho, Andrés Alejandro
et al.
The incorporation of artificial intelligence (AI) in industrial safety in the manufacturing sector represents an emerging field with high potential for the proactive prevention of occupational risks, but it also entails ethical dilemmas and significant socio-technical risks. Through a systematic review of the literature (2015–2025) and a bibliometric analysis of 467 articles, this study identifies the main challenges related to worker privacy, fairness and algorithmic biases, autonomy and human control, as well as transparency and accountability. In addition, technical risks such as classification errors, model degradation (drift), cybersecurity vulnerabilities and reliance on edge/cloud architectures are documented. The findings reveal that Explainable AI (XAI), worker-centered socio-technical design, and the implementation of robust regulatory frameworks (AI Act, PLD, AILD) are key mitigation strategies. The study concludes that the integration of AI into industrial safety can optimize accident prevention as long as a comprehensive approach is implemented that articulates technical, organizational, and legal measures to ensure a safe, ethical, and equitablework environment.
: In this work, we present an Industry 4.0 retrofit solution to prevent accidents in industrial environments, specifically focusing on the operation of bandsaw machines. It examines a real-world scenario where a company aims to enhance worker safety by implementing an integrated solution. The proposed solution involves a pattern recognition system that monitors the work area and sends commands to stop the machine in case of dangerous movements near the bandsaw. This system adheres to Industry 4.0 principles, demonstrating how this methodology can create a safer industrial environment to connect information technology (IT) and operational technology (OT).
BACKGROUND: Human error and violation of rules are perceived as deviations from some desired behavior, appearing variably in literature as either similar or opposing concepts. Behavioral deviations may be linked to accidents or considered a protective factor against them. OBJECTIVE: This article aims to explore definitions, characteristics, classifications, and management approaches for behavioral deviations, specifically human error and violation of rules. METHODS: A systematic literature review was conducted. RESULTS: The authors differ in defining and classifying error and violation, associating them with generation of accidents or their prevention. The management proposals for deviations highlighted by the authors were emphasized. CONCLUSION: The findings of this article reinforce the prominence of authors Jens Rasmussen and James Reason in the field. They assert that deviations are a natural aspect of the work process and even serve as a preventive factor against accidents, although their frequent association with accidents remains common in organizations. This study contributes to theoretical understanding by systematizing prevalent perspectives on deviation, human error, and violation of rules. It proposes a taxonomy and emphasizing the need for managing deviations, rather than combating them, especially in an organizational context.
Метою статті є розроблення методу оцінювання ефективності функціонування системи кадрових органів Збройних Сил України для подальшого прийняття управлінських рішень щодо її удосконалення. Метод розроблений на підставі аналізу структури і змісту роботи підрозділів системи кадрових органів Збройних Сил України й самої системи загалом на етапі її функціонування та планування розвитку як у мирний, так і у воєнний час. Під час написання статті застосовано метод аналізу ієрархій. Зазначений методологічний підхід дав змогу вирішити завдання щодо оцінювання ефективності функціонування системи кадрових органів Збройних Сил України. Він базується на розгляді процесу функціонування системи кадрових органів Збройних Сил України як багатопараметричного процесу, що описується десятьма параметрами (показниками) та передбачає виконання дев’яти завдань, а також структурувати інформацію для визначення ступеня важливості показників. Для оцінювання ефективності функціонування системи кадрових органів Збройних Сил України застосовано комплекс математичних моделей, який складається з: марковської моделі системи кадрових органів; математичної моделі обґрунтування складу системи кадрових органів; математичної моделі оптимального розподілу людського ресурсу за періодами комплектування та математичної моделі оцінювання ефективності функціонування системи кадрових органів. Метод оцінювання ефективності функціонування системи кадрових органів Збройних Сил України передбачає: оцінювання показників ефективності системи кадрових органів; аналіз і комплексування показників оцінювання ефективності системи кадрових органів для різних варіантів її побудови; їх перевірку за відповідними критеріями; вироблення пропозицій щодо вибору раціональної структури системи кадрових органів на підставі аналізу значень вказаних показників; перевірки критеріїв для різних варіантів формування системи кадрових органів. Оцінювання ефективності функціонування як існуючої, так і перспективної системи кадрових органів Збройних Сил України базується на оцінюванні ефективності виконання завдань з реалізації військової кадрової політики, залучення персоналу на військову службу, кадрового менеджменту та підготовки кадрів. Показником ефективності у цьому методі є показник W (загальний показник ефективності функціонування системи кадрових органів Збройних Сил України), який формується з часткових показників ефективності. Для кожного показника часткової ефективності визначені критерії. Якщо часткові показники відповідають цим критеріям ефективності, то робиться висновок про те, що система кадрових органів відповідає вимогам. Наукова новизна розробленого методу полягає у тому, що він розроблений вперше та дозволяє оцінити ефективність функціонування системи кадрових органів Збройних Сил України щодо виконання дев’яти основних завдань за десятьма показниками та критеріями з урахуванням інтенсивності надходження кадрових завдань та раціонального складу кадрових органів для подальшого прийняття управлінських рішень щодо її удосконалення. З теоретичної точки зору цінність статті полягає у тому, що за відсутності методології оцінювання ефективності функціонування системи кадрових органів щодо комплектування особовим складом Збройних Сил України як у мирний, так і у воєнний час та методичного апарата, розроблений новий метод дає змогу комплексно оцінити ефективність функціонування системи кадрових органів щодо комплектування Збройних Сил України особовим складом. Практична значущість запропонованого методу надає можливість науково обґрунтувати відповідні положення керівних документів комплектування особовим складом і визначити оптимальні структуру та склад системи кадрових органів Збройних Сил України, а також пропозиції командуванню щодо укомплектованості військ (сил) під час як підготовки та планування операції (бойових дій), розгляду варіантів замислу операції, розрахунку потрібного складу чисельності військ (сил) Збройних Сил України, підготовки необхідних даних для директивних і планових документів та можливості роботи системи кадрових органів з перерозподілу наявних людських ресурсів. Розроблений метод доцільно використовувати в управліннях персоналу органів військового управління Збройних Сил України, вищих військових навчальних закладах у навчальному процесі підготовки слухачів стратегічного і оперативного рівня з кадрового менеджменту у військах (силах).
Introduction: The 2022 National Occupational Health and Safety (OHS) Profile in Indonesia shows that the human factor in safety is a factor that influences the risk of workplace accidents. The mining accidents statistical data in Indonesia, in which there was a 100% increase of workplace accidents in 2022, have given this industry an urgency to get a special attention to study risk-taking behavior at the workplace. At the organizational level, PT. XYZ (a mining contractor company in Indonesia) has internally measured its safety maturity level and is currently in calculative level, which indicates that the OHS management system has been implemented but the number of unsafe behaviors and unsafe conditions on site is still high. This paper explores quantitative results from research which aims to obtain an overview of employees’ internal factors leading to rule-breaking acts at the workplace. Methods: This paper uses cross-sectional design research with quantitative approach. Using stratified random sampling, a sample of 283 employees of PT. XYZ Site A participated in this study, ranging from managers, supervisors, and workers. Data were collected through a questionnaire with open-ended questions referring to a study from Safe Work Australia and analyzed quantitatively using statistical Chi-Square statistical test. Results: From the results of the Chi-Square test, the independent variables that have a value of Asymp. Sig. (2-sided) below 0.05 (95% CI) and lead to rule-breaking act at workplace are risk-taking behavior acceptance (0.018), normalizing minor accidents (0.002), and decision to take risk (0.000). Conclusion: Employees’ internal factors of risk-taking behavior acceptance, normalizing minor accidents, and decision to take risk have positive and significant effect on rule-breaking acts at the workplace. It is recommended that organizations implement a proper risk management with ALARP principle, safety empowering leadership, and safe behavior trainings to minimize rule-breaking acts at the workplace
E.I. Komaricheva, O. Vinogradova, A.V. Danilchenko
et al.
A risk-oriented approach at hazardous production facilities is a part of critical measures to maintain the safety of the production environment affecting both human health and performance during the working process and to minimize accidents and production hazards. The objective assessment of all stages of the production process is an important aspect of the enterprise's activities. Enterprises should immediately introduce and implement comprehensive measures of production safety that must simultaneously minimize threats to human health (occupational risk assessment — the development and implementation of unified criteria of accident risk assessment) and prevention of potential hazards at each workplace in particular and at the enterprise in general (establishing the industrial safety culture and awareness of personal responsibility for the workflow safety, compliance with industrial safety requirements). The latter is the key principle as it concerns cross-industry integration, i.e., the basic level of knowledge and skills obtained during the learning process and the practical experience of working with industrial equipment, and specifics of the enterprise’s operation. The article provides the analysis of outcomes of work in the sphere of occupational and industrial safety at Razrez Kolavansky JSC with the application of a risk-oriented approach. At the same time, the impact of education (qualification) on injuries of the employees of Razrez has been considered.
Abstract: This research presents a Smart Helmet integrating tilt, gyro, touch, RF433, I2C, LCD, Arduino, LED, and buzzer technologies. Tilt and gyro sensors monitor head movements for accident prevention. A touch sensor allows hands-free control, while RF433 enables wireless communication. I2C ensures seamless sensor integration. Arduino manages data processing, safety algorithms, and device control. The LCD displays critical information, and LED and buzzer provide real-time alerts. The system enhances user safety, communication, and situational awareness in industrial, sports, and emergency contexts. The study includes prototype design, implementation, and testing, contributing to intelligent wearable device development.
Occupational accidents are a serious problem that can cause injury, disability, or even death for workers in various industries. Therefore, it is important to carry out an in-depth analysis of risk mitigation and the use of safety equipment to prevent work accidents. This study aims to analyze risk mitigation and the importance of applying safety equipment in the context of preventing work accidents. The research method used is a case study with a qualitative approach. The research data was obtained through in-depth interviews with experienced workers, safety managers and other related parties in several companies in different industrial sectors. The research results show that effective risk mitigation plays a crucial role in preventing work accidents. Factors such as risk identification, risk evaluation, and mitigation planning become important elements in a safety strategy. In addition, the role of safety equipment such as helmets, gloves, safety shoes, and other personal protective equipment has proven to be very influential in reducing the risk of injury and accidents. This case study also highlights the importance of training and awareness of workers on the correct use of safety equipment. Lack of understanding and awareness can reduce the effectiveness of safety equipment, thereby increasing the risk of work accidents. Based on the research findings, it is suggested that companies adopt a risk-based approach in identifying and mitigating occupational risks. In addition, regular training on the use of safety equipment should be held to increase workers' awareness and understanding of the importance of safety in the workplace.
The accident mortality rate of major accidents (MAs) show that China is still in the bottleneck period of accident prevention and control. To further promote the MAs prevention and control, this paper presents a novel major accidents evolution model from the theoretical perspective of information processing (IP). Firstly, based on the safety science paradigm of accident prevention and the emergency management paradigm of accident control, a safety information processing (SIP) process is proposed. Secondly, established the SIP model for different stages of accident prevention and control, which involves danger information processing (DIP), potential hazard information processing (PHIP), risk information processing (RIP), and emergency information processing (EIP). Thirdly, revealed the SIP of various management subject and the failure principle of accident prevention and control, that is, MAs occur under the premise of continuous failures of DIP, PHIP, RIP, and EIP under the social-technical system. Finally, the DPRE-IP model is proposed from the whole evolution path of “danger-potential hazard-risk-accident”. To demonstrate the viability of the model, this model is applied to the “6·13” Wenling major explosion accident. The results show that the proposed DPRE-IP model can provide new ideas for the formulation of accident prevention and control measures and accident analysis.
Інформаційно-телекомунікаційна мережа військового призначення має великий обсяг наборів даних, а забезпечення захищеності такої мережі від кібератак, є працеємним процесом. Дані мережевого трафіку мають складні нелінійні зв’язки, що змінюються в часі. Існуючі моделі забезпечення кіберзахищеності базуються на моделях кореляції даних про трафік і вимагають значних обчислювальних витрат та не дають змоги здійснювати обробку мережевого трафіку в реальному часі. Крім того, вони не враховують просторово-часові кореляції даних. Метою статті є розроблення математичної моделі системи виявлення вторгнень на основі мережі автоенкодерів для забезпечення кіберзахищеності інформаційно-телекомунікаційної мережі військового призначення. Запропоновано розроблену математичну модель системи виявлення вторгнень на основі нейронної мережі, яка базується на поєднанні багатошарової згорткової нейронної мережі на основі автоенкодерів з використанням довгострокової короткочасної пам’яті. Розроблена модель системи виявлення вторгнень спочатку використовує багатошарову згорткову нейронну мережу на основі автоенкодерів для аналізу просторових особливостей набору даних, які потім обробляються автоенкодерами з використанням довгострокової короткочасної пам’яті для виявлення аномалій у мережевому трафіку. Для підвищення точності виявлення вторгнень запропоновано застосовувати два алгоритми Isolation Forest, що виправляють помилки, виявляють хибнопозитивні та хибнонегативні результати. Тренування моделі системи виявлення вторгнень на основі нейронної мережі проводилось з використанням набору даних NSL-KDD та показало високу точність реконструкції даних та її працездатність.