Template-Type: ReDIF-Article 1.0 Title: Optimization of Software Development Processes Through the Use of Full-Stack Technologies and Automation Author-Name: Denys Drofa Author-Workplace-Name: Engineering Department, Smart Barrel, Inc, 7251 NE 2nd Ave Suite 102, Miami, FL 33138, USA Abstract: The research examines the impact of MERN and MEAN full-stack technologies and automation tools on software development processes. It analyzes case studies from 2019 to 2024 and finds that these technologies lead to significant improvements in productivity and shorter development times. They are 25–35% faster than other development approaches due to their modularity and integrated design approaches. React’s reusable bits, Angular’s two-way data binding, and Node.js’s asynchronous processing help teams work together. Automation tools like Jenkins, Selenium, Docker, and Kubernetes manage testing and deployment, achieving a 40% decrease in next deployment time and a 50% reduction in defect rate. Cost efficiency can reach 20–40% due to single development practices and optimal resource use. However, challenges like high-slope learning and initial configuration difficulties remain. These can be addressed through training programs, community support, and partnering tools with project needs. The integration of MERN and MEAN stacks with automation tools provides a strong foundation for software development, promoting efficiency, better quality, and less expense. Journal: Contemporary Issues in Artificial Intelligence Year: 2025 Volume: 1 Issue: 1 File-URL: https://sciformat.ca/journals/index.php/ciai/article/view/12/6 File-Format: application/pdf DOI: 10.69635/ciai.2025.12 Keywords: Deep Learning; Software Development; Automated Testing; Machine Learning; Full Stack Handle: RePEc:cvj:ciai01:v:1:y:2025:i:1:n:1 Template-Type: ReDIF-Article 1.0 Title: Decarbonization with the Help of Artificial Intelligence – One of the Priorities of International Civil Aviation Author-Name: Chulinda Lyudmila Author-Workplace-Name: Department of Constitutional and Administrative Law, Faculty of Law, Kyiv Aviation Institute, Ukraine Abstract: The article is devoted to the analysis of the role of the International Civil Aviation Organization in solving the problem of global warming, one of the main causes of which is considered to be the increase in greenhouse gas emissions into the atmosphere, highlights directions for achieving the goal of decarbonization of civil aviation by 2050. An analysis of aviation experts' proposals for reducing CO₂ emissions through AI was conducted, which can help reduce the environmental impact of aviation, improve aircraft and engine technologies, use sustainable aviation fuel (SAF), implement economic measures, and improve air traffic management and aircraft operations. Harnessing the power of AI to develop more efficient aircraft and engines will help bring zero-emission aircraft to market by 2035. An important area of carbon reduction is the ability of airports to provide clean airspace. Airports Council International has set high standards for reducing absolute carbon emissions. ACI and its member airports have already committed globally to achieving net zero carbon emissions by 2050, with the support of governments. Ukraine has undertaken international legal obligations to implement a program to reduce greenhouse gas emissions into the atmosphere, which are mandatory for implementation after the restoration of airport infrastructure destroyed as a result of the Russian invasion, in particular, obtaining Airport Carbon Accreditation. It is argued that research into AI capabilities, technological advancements, infrastructure development and operational improvements, and collaboration between governments and industry stakeholders are crucial to creating the necessary foundation to achieve decarbonization goals. Journal: Contemporary Issues in Artificial Intelligence Year: 2025 Volume: 1 Issue: 1 File-URL: https://sciformat.ca/journals/index.php/ciai/article/view/8/2 File-Format: application/pdf DOI: 10.69635/ciai.2025.8 Keywords: Reducing CO₂ Emissions; Decarbonization; Artificial Intelligence; Ecological Aviation Fuel; Aviation Technologies Handle: RePEc:cvj:ciai01:v:1:y:2025:i:1:n:2 Template-Type: ReDIF-Article 1.0 Title: Ethics and Responsibility in the Implementation of Artificial Intelligence in Justice Author-Name: Volodymyr Zverev Author-Name: Valery Bushkov Author-Name: Borys Khrushkov Author-Name: Andriy Shavolin Author-Name: Serhiy Smyshlyaev Author-Name: Yehor Prokopovych-Tkachenko Author-Workplace-Name: University of Customs and Finance, Ukraine Abstract: The article examines the complex challenges and prospects arising from the implementation of artificial intelligence (AI) in the justice system. The growing role of automated algorithms in legal procedures demonstrates the intention to increase the efficiency of judicial proceedings and optimize the work of law enforcement agencies. At the same time, the use of AI can give rise to a number of ethical, legal and technical problems, particularly issues of transparency, accountability, algorithmic discrimination and biases that manifest in judicial practice and law enforcement processes. The article analyzes scientific approaches to the formation of principles of accountability when making AI decisions and proposes theoretical and practical guidelines for developing the transparency and reliability of intelligent algorithms in the legal sphere. Considerable attention is paid to the research methodology, which combines formal-legal and empirical methods, as well as algorithmic modeling and machine learning tools. The “Results” section provides examples of quantitative analyses and compares the effectiveness of different approaches to the application of AI in jurisprudence. Visualizations and tables demonstrate statistical information and features of the integration of AI into judicial procedures and legal practice. The “Discussion” highlights the theoretical and practical aspects of the developing of an ethics code and legal regulation possibilities, considering diverse challenges. It is concluded that for the effective implementation of AI in justice, wholesome models of transparency, independent auditing and regulatory mechanisms should be developed that also consider the specifics of the judicial system, human rights and the protection of confidential information. Proposals are formulated to establish the responsibility of developers, users and government agencies. Journal: Contemporary Issues in Artificial Intelligence Year: 2025 Volume: 1 Issue: 1 File-URL: https://sciformat.ca/journals/index.php/ciai/article/view/10/4 File-Format: application/pdf DOI: 10.69635/ciai.2025.10 Keywords: Artificial Intelligence; Justice; Legal Regulation; Ethical Responsibility; Algorithmic Discrimination; AI Transparency; Judicial Proceedings; Regulation; Machine Learning; Automated Decisions Handle: RePEc:cvj:ciai01:v:1:y:2025:i:1:n:3 Template-Type: ReDIF-Article 1.0 Title: Artificial Intelligence and Cybercrime: New Challenges and Prospects for Legal Regulation Author-Name: Volodymyr Zverev Author-Name: Valery Bushkov Author-Name: Borys Khrushkov Author-Name: Volodymyr Sarychev Author-Name: Oleksiy Ostaltsev Author-Name: Yehor Prokopovych-Tkachenko Author-Workplace-Name: University of Customs and Finance, Ukraine Abstract: The rapid development of artificial intelligence (AI) is fundamentally changing the methods and scale of cybercrime, and also poses significant challenges for legal regulation. This article highlights the fundamental aspects of the use of AI to commit cyberattacks (automated hacking tools, deep fakes, intellectual fraud, etc.) and considers ways to counter them by law enforcement agencies. The legal aspects related to the extended autonomy of AI systems are examined, leading to new liability issues, problems of assessing deep fakes evidence and the need for international cooperation in cybersecurity field. The aim of the study is to develop a holistic view of the threats posed by AI tools in the context of cybercrime and to formulate recommendations for improving national and transnational legislation. The article proposes specific mechanisms for ensuring the reliability of digital evidence, highlights the current practice of criminal prosecution in Ukraine and abroad, and also provides proposals for the unification of procedures for forensic analysis of materials obtained or modified with the help of AI. The results show that effective legal counteraction to AI-based cybercrime requires the simultaneous development of technical tools, enhanced protection of human rights, and international harmonization of legal norms. Particular attention is paid to modernization of training programs for legal professionals and the involvement of cybersecurity experts to ensure faster response to emerging threats. Journal: Contemporary Issues in Artificial Intelligence Year: 2025 Volume: 1 Issue: 1 File-URL: https://sciformat.ca/journals/index.php/ciai/article/view/11/5 File-Format: application/pdf DOI: 10.69635/ciai.2025.11 Keywords: Artificial Intelligence; Cybercrime; Legal Regulation; Deepfakes; Cybersecurity; AI Autonomy; Digital Evidence; Forensic Analysis; International Cooperation; Machine Learning Handle: RePEc:cvj:ciai01:v:1:y:2025:i:1:n:4