Field Of Forensic Science Research Articles

Integrating artificial intelligence in forensic science

Thesis. The thesis of this article is to explore the integration of artificial intelligence (AI) methodology in forensic science. An assessment of the potential implications of AI for improving investigative processes and outcomes will also be addressed. Concept. The concept focuses on exploring the application of AI technologies in ar- eas of science such as analysing evidence recognising patterns and supporting decision- making systems. The article emphasises the practical use of AI algorithms in investiga- tions. on exploring how artificial intelligence technologies can be implemented in various aspects of forensic science. Results. An analysis of existing literature and case studies shows that integrating AI into forensic science can improve efficiency, accuracy, and objectivity in investigations. AI tools can automate tasks analyse datasets and identify patterns that might be challeng- 16 “ABoUT The INTeRNeT” - TheoRy ing for humans to detect. However utilising AI in forensic science poses challenges like algorithms, privacy issues with data handling, and the necessity for oversight. Further- more, when employing intelligence for inquiries it is essential to prioritise transparency, and accountability and uphold integrity in decision-making processes. Originality. This article adds to the discussion about integrating AI into science by of- fering a thorough examination of its potential advantages and obstacles faced along, with ethical concerns. By merging research findings and offering perspectives on emerging trends we can gain insights, into the impact of AI on advancing investigations in the years ahead. Additionally, the theoretical structure presented here establishes a foundation for research studies and practical implementations, within the field of forensic science. Keywords: Artificial intelligence, forensic science, AI applications in forensic science, machine learning for evidence analysis, crime scene reconstruction with AI

Multifunctional BiOCl: Sm3+ nanophosphors: A luminescent platform for solid-state lighting applications, optical thermometry, photocatalytic and forensic applications

Rare earth-activated phosphor materials have been widely used as active probes in optical materials for multidimensional applications. Here, we report a series of ultrahigh purity orange-red emitting BiOCl: xSm3+ (x= 0.5- 2.5 mol %) nanophosphors synthesized via conventional solid-state method at relatively low temperatures for various photonic and forensic applications. XRD and Rietveld refinement results confirmed the tetragonal crystal structure of the synthesized phosphor materials with space group P4/nmm. Fourier transform infrared (FT-IR) and Raman spectroscopy were used to perform the functional group analysis. The UV-Vis-NIR spectra were analyzed to determine the Judd-Ofelt (JO) intensity parameters (Ω2, Ω4, Ω6) and to identify the bonding structure and spontaneous emission properties of the samples. The prepared phosphors exhibit intense orange-red emission under 408 nm excitation and beyond 1 mol% doping of Sm3+ ions, the emission intensity decreases due to concentration quenching mechanism via, dipole-dipole interaction between the optically active Sm3+ ions in the phosphor sample. The synthesized BiOCl: Sm3+ nanophosphors possess low correlated color temperature (CCT), admirable high color purity (99.4%) and outstanding internal quantum efficiency (IQE) of 95.27%. The optical thermometry behavior of the optimized sample has been investigated in detail. Moreover, the optimized nanophosphor stains on porous and non-porous surfaces show clear ridge patterns with high sensitivity, efficiency, and minimal background hindrance for latent fingerprints and lip print detection in forensic applications and are used as security ink in anti-counterfeiting applications. Overall, the results revealed the potential prospects of BiOCl: Sm3+ nanophosphors in the field of display applications, optical thermometry, and forensic sciences.

International experience of using expert opinions in criminal proceedings

The article is devoted to the important issue of international standards integration into the national system of forensic examination. The influence of international legal norms on the regulation of expert activity in Ukraine is analysed and the prospects for the development of this area are outlined. Particular attention is paid to the importance of forensic examination in legal proceedings, and the key role of experts in establishing objective truth and ensuring justice through their specialised knowledge is emphasised. Foreign experience in the field of forensic examination is considered, taking into account the use of specialised knowledge and methods of conducting examinations in other countries. It is indicated that in the context of crime globalisation, forensic examination in Ukraine should meet the highest international standards. To achieve this, it is necessary not only to update the legislative framework, but also to expand the capabilities of experts, introduce modern research methods and ensure close cooperation with international expert institutions. This will improve the quality of investigations and the effectiveness of the fight against crime. International cooperation in the field of forensic science, regulated by Section 4 of the Law of Ukraine “On Forensic Science”, is a key tool for ensuring effective judicial proceedings. It allows for the involvement of highly qualified specialists from different countries in the investigation of complex criminal cases and the use of modern research methods, which contributes to the establishment of objective truth. To ensure the high quality of forensic examinations and their international recognition, it is necessary to unify approaches and standards. International cooperation in this area facilitates the exchange of experience, the introduction of the latest techniques and the creation of common databases, which increases the reliability of expert opinions and their recognition around the world.

Development of Mg2TiO4:Mn4+ phosphors for enhanced red LED emission and forensic fingerprint analysis

The advancement in the development of inorganic phosphors marks a significant milestone in the fields of LED technology and forensic science. Herein, Mg2TiO4:Mn4+ (MTO:Mn4+) novel red-emitting phosphors are synthesized through a solvothermal method, which demonstrates a promising approach for enhancing latent fingerprint detection capabilities and improving the performance of red LEDs. The confirmation of the cubic structure post-annealing and the nano-nature as revealed by TEM analysis underpin the MTO:Mn4+ phosphors suitability for these applications. The broad excitation spectra and the sharp red emission at 659 nm, coupled with the optimal doping concentration, showcase the MTO:Mn4+ phosphor's efficient luminescence properties. Moreover, the calculated critical distance between Mn4+ ions (32.906 Å) elucidates the concentration quenching mechanism, which is pivotal for optimizing the performance. The high purity of the emitted red light (97.2 %) and the precise CIE coordinates (0.5969, 0.2926) of the MTO:Mn4+ phosphor suggest its potential for producing high-quality red LEDs. Additionally, the capability of MTO:Mn4+ phosphors to reveal detailed and high-resolution latent fingerprints offers a more reliable and efficient method for processing and analyzing crucial evidence. These findings not only contribute to the scientific understanding of MTO:Mn4+ phosphor materials but also pave the way for their practical application in cutting-edge technologies.

Hidden in plain sight: New partners for forensic nursing education

BackgroundBreaking disciplinary silos and increasing understanding for students has the potential to transform the future of healthcare, yet it can be challenging to develop interdisciplinary simulations. MethodsWhile integrating the AACN Essentials into a new course about forensics in the healthcare setting, innovative simulation design helped undergraduate nursing and pre-health track science students demonstrate specific sub-competencies. ResultsThe simulations resulted in self-reported increased student learning. ConclusionWith simulation-based experiences in both healthcare and chemistry lab settings, nursing faculty and students, science faculty and students interested in health sciences, public safety, and counseling services are ubiquitous to institutions of higher learning that house nursing programs and are all great partners in designing simulations in the interdisciplinary forensic science field.

Rational design of fluorescent nanoparticles: From wavelength redshift to increased water solubility for stable and high-resolution imaging of latent fingerprints

Efficient and accurate visual identification of latent fingerprints is crucial in areas such as criminal investigation and information security. Aggregation-induced luminescence (AIE) fluorescent materials are widely used in this field because of their strong fluorescence and easy functionalization. They have attracted significant interest and emerged as a promising area since the introduction of the AIE concept. Here a new water-soluble fluorescent nanoparticle, flu-p-DITPA, through amphiphilic self-assembly with amphiphilic polymers macro-CTA-mPEG2000 (P1) and exhibits typical AIE properties. The core molecule, indo-DITPA, derived from the triphenylamine backbone, was obtained through rational molecular design and theoretical calculations, and the calculated results were confirmed with experimental results. The photophysical properties of indo-DITPA and flu-p-DITPA have been meticulously studied, revealing their remarkable characteristics. Taking advantage of their favorable photophysical properties, good water solubility, and biocompatibility, the researchers have devised a simple yet effective method for visualizing latent fingerprints (LFPs) with high resolution under UV light. This method enables the easy decoding of latent fingerprint information at primary, secondary, and tertiary levels. Importantly, this technique is simple, rapid, and user-friendly, marking a significant step forward in the field of forensic science and fingerprint analysis.

Artificial Intelligence in Forensic Sciences Revolution or Invasion? Part II

Aim: The study is on the emerging role of artificial intelligence in the forensic sciences. After clarifying the basic concepts and a brief historical overview, the possibilities of using AI in various forensic fields are discussed: genetics, pattern recognition, chemistry, toxicology, anthropology, forensic medicine, and scene reconstruction. Methodology: The study synthesises several recently published international papers. Findings: The penetration of the application of artificial intelligence into some fields of science is undoubtedly an ongoing process. Most of the varied forensic fields also cannot avoid this development. Analysing large databases unmanageable with traditional methods, pattern recognition, and machine learning can all be important tools for forensic science. However, an important conclusion is that AI is a supporter of human expert work, not a substitute. Value: In the field of forensic sciences, no such detailed summary article has been published in Hungarian so far.

Mesterséges intelligencia a törvényszéki tudományokban Revolúció vagy invázió? II. rész

Aim: The study is on the emerging role of artificial intelligence in the forensic sciences. After clarifying the basic concepts and a brief historical overview, the possibilities of using AI in various forensic fields are discussed: genetics, pattern recognition, chemistry, toxicology, anthropology, forensic medicine, and scene reconstruction. Methodology: The study synthesises several recently published international papers. Findings: The penetration of the application of artificial intelligence into some fields of science is undoubtedly an ongoing process. Most of the varied forensic fields also cannot avoid this development. Analysing large databases unmanageable with traditional methods, pattern recognition, and machine learning can all be important tools for forensic science. However, an important conclusion is that AI is a supporter of human expert work, not a substitute. Value: In the field of forensic sciences, no such detailed summary article has been published in Hungarian so far.

Ethanol concentrations in various biological specimens: Living and postmortem forensic toxicology analysis and comprehensive literature review

Alcohol use upsurges the risk for many chronic ill-health consequences such as hepatitis, malignancies, and disastrous outcomes like road traffic accidents ending in fatal injuries. Biochemical and toxicological analysis of different body fluids is crucial for identifying the cause of death and postmortem interval in many forensic cases. Blood, urine, and vitreous fluid are the most valuable body fluids for detecting alcohol during any toxicological analysis. Alcohol is responsible for widespread morbidity and mortality worldwide. Blood alcohol concentration (BAC) is a necessary toxicological test to investigate various crime and accident scenes. This study comprehensively explores the demographic characteristics, BAC distribution, and correlations of alcohol concentrations in postmortem and living cases. Postmortem cases (N = 166) reveal intriguing demographic patterns, with notable variations in year distribution, nationality, sex, age groups, occupation, smoking habits, place of death, and psychiatric history. Living cases (N = 483) exhibit distinct demographic profiles, emphasizing differences in year distribution, nationality, sex, age groups, and smoking habits.Analysis of BAC distribution reveals diverse patterns in both postmortem and living cases, providing valuable insights into the prevalence of different BAC levels in each group. Correlation analyses unveil strong associations between alcohol concentrations in various biological samples in postmortem cases, highlighting the interdependence of blood, vitreous, and urine alcohol concentrations. Conversely, living cases display a moderate positive correlation between blood and urine alcohol concentrations.Comparative analyses showcase significant differences in mean alcohol concentrations between postmortem and living cases, suggesting variations in alcohol metabolism and distribution. These findings underscore the importance of considering temporal factors in interpreting alcohol concentrations in forensic and clinical contexts.In conclusion, this study enhances our understanding of alcohol-related incidents by delineating demographic profiles, BAC distributions, and correlations between different biological samples. Such insights are crucial for refining investigative and clinical approaches, contributing to the broader fields of forensic science and public health.

Quaternary phosphonium AIEgens nanoparticles as innovative agents for developing latent fingerprints

Quaternary phosphonium salts, a significant category of organophosphorus compounds, have garnered substantial attention from chemists due to their wide range of applications across various research areas. These compounds are utilized in organic synthesis, catalysis, medicinal chemistry, natural materials, and coordination chemistry. Their versatility and effectiveness in these fields make them valuable tools in scientific research. Despite their extensive use in various applications, the potential of quaternary phosphonium compounds as fluorescent agents for revealing latent fingerprints (LFPs) remains largely unexplored, presenting an exciting opportunity for further research and development in forensic science. In this study, we designed molecules that combine the aggregation-induced emission (AIE) chromophore with triphenylphosphine to create a series of novel AIE amphiphiles, namely TPP1, TPP2, and TPP3. Through precise adjustment of the carbon chain length between the phenoxy group and the terminal triphenylphosphine, we were able to finely tune the nanostructures and hydrophobicity of the materials. TPP3 emerged as the optimal candidate, possessing the ideal particle size and hydrophobicity to effectively bind to LFPs, thus enabling efficient fingerprint visualization with enhanced fluorescence upon aggregation. Our findings introduce an innovative approach to fingerprint visualization, offering high selectivity, superior imaging of level 3 structures, and long-term effectiveness (up to 30 days). Additionally, TPP3's outstanding performance in imaging level 3 structures of LFPs is beneficial for analyzing incomplete LFPs and identifying individuals. By significantly improving the detection and analysis of LFPs, this approach ensures more accurate and reliable identification, making it invaluable for forensic investigations and security measures. The adaptability of these compounds to various fingerprint surfaces highlights their potential in diverse practical applications, enhancing their utility in both forensic science and security fields. This versatility allows for precise fingerprint visualization across different scenarios, making them a critical tool for advancing biometric and security technologies.

An efficient image classification and segmentation method for crime investigation applications

AbstractThe field of forensic science is experiencing significant growth, largely driven by the increasing integration of holographic and immersive technologies, along with their associated head-mounted displays. These immersive systems have become increasingly vital in resolving critical crimes as they facilitate communication, interaction, and collaboration. Given the sensitive nature of their work, crime investigators require substantial technical support. There is a pressing need for accurate documentation and archiving of crime scenes, which can be addressed by leveraging 3D scanned scenes to accurately represent evidence and expected scenarios. This study aims to develop an enhanced AR. system that can be deployed on hologram facilities such as the Microsoft HoloLens. The proposed system encompasses two main approaches, namely image classification and image segmentation. Image classification utilizes various deep learning models, including lightweight convolutional neural networks (CNNs) and convolutional Long-Short Term Memory (ConvLSTM). Additionally, the image segmentation approach is based on the fuzzy active contour model (FACM). The effectiveness of the proposed system was evaluated for both classification and segmentation tasks, utilizing metrics such as accuracy, sensitivity, precision, and F1 score. The simulation results indicate that the proposed system achieved a 99% accuracy rate in classification and segmentation tasks, positioning it as an effective solution for detecting bloodstain patterns in AR applications.

Nanostructured assessment of copper oxide for latent fingerprint recognition

Nanotechnology has revolutionized the different fields of forensic science, particularly in the efficient examination of evidence. In this study, we report scalable synthesis of copper oxide (CuO) nanosheets by using hydrothermal method and its exploration in the forensic examination of latent fingerprints. The identification and structural characterization of CuO nanoparticles were carried out using advanced spectroscopic methods such as powder X-ray diffraction (PXRD), Raman spectroscopy, and Fourier transform infrared spectroscopy (FTIR). The stabilization of CuO nanosheets in monoclinic symmetry (space group C2/c) was confirmed through Le Bail refinements. Morphological studies based on scanning electron microscopy (SEM) revealed that the CuO nanosheets exhibit, a rectangular, thin plate like morphology.The applicability of these nanosheets was tested for examining and developing fresh and aged (7 days old) latent fingerprints on dry, non-absorbent substrates using the powder dusting method. The formulation successfully developed sharp and clear fingerprints on various substrates, allowing the second-level details of the fingerprints to be viewed without any background interference. Additionally, these nanosheets are non-hazardous and cost-effective, making them a suitable fingerprint developing agent for a wide range of dry, non-absorbent surfaces recovered from crime scenes.

Forensic analysis of hydrogen sulfide poisoning cases: Innovative LC-MS/MS methodology for accurate detection in human blood

Identification of hydrogen sulfide poisoning cases has long been a challenging issue in the field of forensic science. Due to the relatively limited histopathological features associated with hydrogen sulfide poisoning, traditional anatomy faces difficulties in accurately determining such cases. Additionally, existing detection methods have inherent limitations, including complex analytical processes and low sensitivity. This research uses the principle of the reaction between triazine and hydrogen sulfide to generate thiadiazine to measure hydrogen sulfide levels in the blood, applying this method to practical case examinations. A 0.2 mL blood sample is taken and diluted with 0.8 mL saturated borax solution. In a test tube, 1 mL acetonitrile solution containing 0.1 % formic acid is taken, followed by the sequential addition of 0.1 mL diluted solution and 0.1 mL 1 % triazine aqueous solution. After thorough mixing, the mixture is allowed to stand for 30 min, during which hydrogen sulfide undergoes a derivative reaction with triazine, producing thiazine. Subsequently, the sample undergoes centrifugation and membrane filtration, and the resulting solution is analyzed using Liquid Chromatograph Mass Spectrometer. The results reveal a strong linear relationship of hydrogen sulfide within the concentration range of 10 to 2000 ng/mL, with an R2 of 0.9989. The detection limit is 3 ng/mL, and the quantification limit is 10 ng/mL. In six cases of hydrogen sulfide poisoning, the presence of hydrogen sulfide in the blood of all deceased individuals is detected, with concentrations ranging from 0.25 to 0.79 μg/mL. For the first time, this study establishes an LC-MS/MS method for determining hydrogen sulfide in blood, meeting the detection requirements for hydrogen sulfide poisoning cases.

Areas of modernization of the system of training and certification of forensic experts in Ukraine based on the adaptation of foreign experience

Abstract The article is devoted to the study of the existing system of training and certification of forensic experts in Ukraine and to the provision of proposals for its modernization, taking into account the positive experience in the field of forensic science of the USA, Great Britain and some countries of the European Union. In Ukraine, the procedure for the training and certification of forensic experts is determined by ministries and other central executive authorities, which manage state specialized institutions that carry out forensic activities. A study of foreign experience in the training and certification of forensic experts made it possible to identify general and specific elements, sustain the benefits of the implemented measures, and formulate priorities and guidelines. The research resulted in the justification of the need to develop a single regulatory act that would determine the procedure for training, internships and certification of forensic experts, as well as the creation of a single qualification body that would help ensure uniform approaches to determining the qualification of forensic experts working in state specialized forensic institutions, their territorial branches, expert institutions of municipal ownership, and forensic experts who are not employees of these institutions. It is proved that the development and implementation of uniform standards for training forensic experts on the basis of a centralized approach, regardless of where these specialists will work in the future, will help address the problem of training personnel. The author concludes that improving the quality of training, internship and certification of forensic experts requires new approaches to organizational, economic, teaching, methodological and technical provision. The author substantiates the need for fundamentally new forms of activity which will ensure the effectiveness and transparency of the assessment of knowledge by means of modern information technologies in the current reform environment. It is stated that Ukraine should raise the criteria for admission to the profession of a forensic expert. The author specifies the issues that need to be enshrined in law.

Machine Learning and Possibility of its Application for Forensic Researches on Firearms

Role of machine learning in modern society cannot be over-estimated, especially given its steadily increasing importance in recent years. Various machine learning models are applied not only in everyday life but also in solving practical, engineering, and scientific challenges. However, the methods and capabilities of machine learning remain relatively obscure to most professionals across various fields of knowledge, including specialists in forensic firearm examination. The article discusses basic tasks that machine learning methods can facilitate and provides examples of tasks faced by forensic experts during firearm examinations that can be solved utilizing these methods. The article purpose is to familiarize professionals in the field of forensic science with be-sic capabilities of machine learning methods. The research paper demonstrates which specific types of tasks in forensic firearms examination it is advisable to apply these methods to, and what is required for this purpose. In order to achieve this goal, general scientific methods (dialectical, comparative, analysis, synthesis, induction, deduction) and special scientific methods (formal-logical, systemic-structural) have been employed. Specific expertise and skills in forensic identification methods (including ballistics, microscopic comparative analysis of traces on bullets and casings, detection and examination of gunshot residue to estimate shooting distance, etc.), principles of machine learning, and mathe-matical algorithms used to construct various models have been applied.

SEX DETERMINATION USING ANTHROPHOMETRIC MEASUREMENTS OF THE HUMAN EXTERNAL EAR IN CHENNAI POPULATION

The human external ear, including the auricle (pinna) and the external auditory canal, is valuable in forensics. External ear: Its unique parameters can be used for identification through ear measurements. These features make the external ear useful for identifying individuals and collecting forensic evidence. OBJECTIVE: This current study, objective is to find out that with the help of the ruler (in cm) is possible to differentiate the person by measuring their outer ear’s parameter variations, also to determine their sex with the these measurements. METHODOLOGY: The present study consists of 100 participant of 50 male and 50 female. The external ear measured using the ruler in cm. The sample universe for this study is Chennai population age group of 20-25 years. For statistical analysis SPSS software were used. RESULT: According to the current study, there is a significant variation of parameters among both the sexes of participant. Additionally as expected, the uniqueness in the variations of parameters from each participant. CONCLUSION: The study has successfully demonstrated that the variations in outer ear parameters offer a reliable and effective additional method of individual identification. In future and with reference to the articles these findings in this field suggests that ear biometrics could be integrated into existing security systems to enhance identification processes, confirming the potential of outer ear measurements as a valuable tool in the field of forensic science and personal security technologies. KEYWORDS: Ear measurements, Anthropometric measurements, Ear evidence

Genesis and Current State of the Forensic Prediction Theory

Predictive activities in the field of forensic science are one of the most relevant practice-oriented areas of research within the framework of forensic science. Predicting development trends of any subject, process, and system based on existing information about them and the achieved level of science allows us to obtain advanced knowledge that is relevant given the high speed of emergence, processing and use of information in modern society. The digitalization process causes the emergence of new objects and new tasks of expert research, changes in their methods and methodology, which significantly affects the formation and development of new types of forensic examinations. The theory of forensic forecasting should become the foundation for scientifically based forecasts in this area. The work scrutinizes the genesis of this theory, its close connection with scientific forecasting in other sciences of the criminal legal cycle. Particular attention is given to its connection with forensic forecasting. The paper states the relatively low level of development of the theory of forensic forecasting, and identifies factors that complicate forecasting in the field of forensic activity. The relevance of further developments in this area is noted. It is indicated that the timely organization of methodological developments, updating of professional and educational requirements for experts and other practically significant activities require theoretical predictive information for their planning.

Edwards curve digital signature algorithm for video integrity verification on blockchain framework

Within the field of forensic science, video integrity is an essential component that ensures the validity and dependability of visual evidence that is essential for court cases. Maintaining the integrity of justice in a time when digital modification tools are easily accessible requires making sure that video recordings are unaltered. Video footage is carefully inspected by forensic analysts who use advanced tools to look for indications of manipulation or change. This paper presents a novel, lightweight approach for verifying the integrity of video data. The proposed method utilizes the blockchain and the Edwards Curve Digital Signature Algorithm, coupled with the BLAKE2b hash function. Signatures are generated for video clips with a predetermined size called video segments and stored in blocks chronologically. The signature of the previous block is stored in the current block to add another layer of security. At the time of validation, these signatures are verified. Experimental results show that the proposed method outperforms state-of-the-art methods in both speed and security. Our method is capable of identifying any type of forgery on any video file, by anyone, at any given moment, with insignificant additional storage requirements. Furthermore, our security analysis shows that our method is resilient against various types of attacks, including collision attacks, key substitution attacks, side-channel attacks, and chosen message attacks. The proposed lightweight video integrity verification method is better suited for use in resource constrained devices.

Multidisciplinary analyses of partial human remains discovered in the Caribbean Sea (Venezuela)

ABSTRACT In March 2022, human remains were discovered submerged 15 metres underwater, near Cubagua Island, Venezuela. The remains were intricately entangled and secured to the seafloor. The investigation was conducted by the Servicio Nacional de Medicina y Ciencias Forenses (SENAMECF) of Venezuela, and it involved an underwater recovery operation, followed by a comprehensive examination. The medicolegal, anthropological, odontological, and taphonomical analyses alongside diatom test were conducted to ascertain the identity of the remains, determine the cause of death, and estimate the post-mortem interval (PMI)/post-mortem submersion interval (PMSI). Collaborative efforts with international experts on adipocere and barnacle analyses allowed for the refinement of the enhanced the precision of information provided in plea announcements, which facilitated the identification of the subject. Forensic analyses on incomplete and highly decomposed human remains present inherent complexities, which are exacerbated in underwater environments. Compounded by the limited experience and expertise in aquatic forensics among law enforcement agencies worldwide, the present case exemplifies a successful professional collaboration that surmounted a diverse array of challenges. This case underscores the critical importance of knowledge-sharing within the continuously evolving field of forensic science, serves as an illustrative example, and provides guidelines for the investigation of similar cases in the future.

Artificial Intelligence in Forensic SciencesRevolution or Invasion? Part I

Aim: The first half of the two-part study is on the emerging role of artificial intelligence in the forensic sciences. After clarifying the basic concepts and a brief historical overview, the possibilities of using AI in various forensic fields are discussed: genetics, pattern recognition, chemistry, toxicology, anthropology, forensic medicine, and scene reconstruction. Methodology: The study synthesises several recently published international papers. Findings: The penetration of the application of artificial intelligence into some fields of science is undoubtedly an ongoing process. Most of the varied forensic fields also cannot avoid this development. Analysing large databases unmanageable with traditional methods, pattern recognition, and machine learning can all be important tools for forensic science. However, an important conclusion is that AI is a supporter of human expert work, not a substitute. Value: In the field of forensic sciences, no such detailed summary article has been published in Hungarian so far.