Journal of Information Technology, Cybersecurity, and Artificial Intelligence
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Fair and Ethical Resume Screening: Enhancing ATS with JustScreen the ResumeScreeningApp
Get PDFAbstract— In today\u27s fast-paced job market, the efficiency and fairness of the resume screening process are paramount. "JustScreen" emerges as a cutting-edge solution leveraging advanced Natural Language Processing (NLP) to automate resume evaluation, thus eliminating biases and promoting merit-based candidate selection. This thesis explores JustScreen\u27s innovative approach to integrating NLP and machine learning algorithms to enhance the recruitment workflow, ensuring a more streamlined, unbiased, and efficient candidate assessment process. The methodology involves several key components: data preprocessing, NLP information extraction, fairness metrics calculation, bias mitigation, and interpretability techniques. By utilizing frameworks such as spaCy for NLP tasks, JustScreen aims to overcome the challenges of traditional manual screening processes, improving both accuracy and fairness. This thesis explores the transition from developing a full Application Tracking System (ATS) to creating a powerful enhancement for existing ATS systems. The ResumeScreeningApp/ JustScreen integrates generative AI to provide comprehensive resume analysis, adding significant value to traditional ATS functionalities. Initial evaluations indicate a significant advancement in talent acquisition practices, promoting equal opportunities and reducing the impact of potentially discriminatory factors. This research signifies a transformative shift in recruitment, setting new standards for ethical and efficient hiring practices using Generative AI
Use Artificial Intelligence in Autism Spectrum Disorder: a comprehensive review in assessment, intervention, and data collection
No full textAutism Spectrum Disorder (ASD) presents varied challenges across assessment, intervention, and behavioural monitoring. With recent advancements in Artificial Intelligence (AI), introduced tools have emerged that support clinicians, educators, and families in understanding and managing ASD more effectively. Significant innovations include explainable AI, mobile applications, computer vision, and wearable devices, which establish promising potential to increase accuracy, accessibility, and consistency of care. This review produces findings from recent literature to examine how AI contributes to the ASD care process. It highlights the benefits of AI while noting ethical and practical considerations. Also addresses challenges in data security, privacy, and ethical AI deployment within ASD care settings
Machine Learning in Assessing the Impact of Climate Change on Water Resources
Get PDFThe water resources of Bangladesh are highly susceptible to climate change which is reflected in patterns of river flows, groundwater and water quality. This work uses a machine learning (ML) approach to quantify the changes induced in representative river basins under historical and future SSP2-4.5 and SSP5-8.5 scenarios. Historical climate monitoring also indicated significant regional warming, especially in the coastal region (+0.25 °C/decade) and growing spatial heterogeneities of rainfall. Future projections under SSP5-8.5 suggest dramatic changes, such as a +4.1 °C temperature increase and a 13.5% change in rainfall by the end of the century. Comparing different ML models for predicting streamflow, Long Short-Term Memory (LSTM) model proved to be the best, with an accuracy and the fewest errors. The increase in mean annual streamflow in the Ganges, Brahmaputra, and Meghna basins is substantial under the LSTM projections and the Meghna basin could witness as high as 21% increase under SSP5-8.5. These transformations align with a significant increase in the frequency of extreme floods, that might extend to yearly events before the century is over. Groundwater is estimated to decrease drastically, and water quality is likely to deteriorate, with coastal salinity increasing by almost 100%. Spatial vulnerability diagnosis indicates that the South-West and coastal zones are severely vulnerable due to both water scarcity and salinity encroachment. A region-specific adaptation plan for sustainable groundwater management needs to be developed, with an advanced plan for enhancing the resilience of Bangladesh’s groundwater resources under future climate scenarios
Measuring Cybersecurity Awareness of Students: a Study of State College Students
Get PDFThis study investigates the level of cybersecurity awareness and online security behavior among State College students, utilizing a 54-item structured questionnaire. The survey was administered online via Microsoft Forms over a period of 204 days, yielding 135 responses, of which 128 were retained after data cleaning and processing. The instrument captures four dimensions: demographic characteristics, conceptual knowledge of cybersecurity, self-reported security practices, and behavioral responses to realistic digital scenarios. A descriptive analysis of the responses reveals that students possess a relatively strong conceptual understanding of the selected security principles. For example, more than 95% correctly identified the characteristics of a strong password, and 83.7% reported maintaining an active and regularly updated antivirus program. However, behavioral data reveal inconsistent application of this knowledge in practice. Many students continue to reuse passwords, connect to unsecured Wi-Fi networks, or rely on public devices and unverified software sources when under pressure for convenience or time. An overall awareness score computed from the behavioral items averaged 77.28% on the adopted awareness scale, indicating that a substantial proportion of students exhibit risk-prone habits despite their baseline knowledge of cybersecurity. These findings highlight a persistent knowledge–behavior gap and underscore the need for targeted educational interventions. The study recommends scenario-based awareness training, integration of cybersecurity content across curricula, and institutional policies that reinforce secure digital habits among students
Responsible AI for AI Sustainable Future: Governance, Ethics, and The Reality Behind the Promise
Get PDFArtificial intelligence has emerged as a powerful force shaping global development, offering promising solutions across health, education, climate change, and governance. However, its rapid integration into critical sectors raises urgent questions about ethics, governance, and sustainability. This systematic review explores the promise and practice of responsible AI through the lens of three core objectives: the governance mechanisms guiding AI implementation, the ethical frameworks shaping its design, and the practical realities influencing its deployment across contexts. Drawing from sixty peer-reviewed articles published between 2017 and 2024, the review identifies strong global consensus on foundational principles such as fairness, accountability, and transparency. Nonetheless, a significant implementation gap persists, particularly in low-resource settings, where enforcement mechanisms and institutional readiness are often lacking. The findings also reveal that ethical commitments are frequently undermined by organizational constraints and commercial interests, leading to surface-level adherence without substantive change. Environmental sustainability, a critical dimension of responsible AI, remains underrepresented in current governance discussions despite mounting evidence of AI’s carbon footprint. This review contributes to the growing body of scholarship advocating for inclusive, enforceable, and context-sensitive approaches to responsible AI. It underscores the need for deeper engagement with the political, social, and environmental realities that shape AI’s impact on sustainable development. Ultimately, bridging the gap between AI’s ethical aspirations and real-world outcomes requires not only technical innovation but also strong institutional leadership, interdisciplinary collaboration, and meaningful stakeholder participation
Digital Payment Solutions Drive Efficiency in Supply Chains of Bangladesh
Get PDFThis paper discusses how digital payment systems can enhance efficiency of the supply chain in Bangladesh based on the quantitative research method where its data was collected through 400 respondents, who included suppliers, distributors, wholesalers, and retailers. This paper applied standardized questionnaire to assess effects of digital payment in the speed of transaction, reduction of costs, transparency and trust, efficiency in general and perception by stakeholders. Descriptive analytics revealed that a strong agreement had been reached on the claim that digital payments accelerate transactions, improve transparency, and increase performance of the supply chain, though a moderate level of variability was noted between perceptions with regard to cost-cutting and adoption. Correlation and regression analysis of the hypothesis proved the statistically significant positive correlation between the use of digital payments and the principal efficiency indicators. These findings indicate that it is a strategic means of modernizing the supply chain in Bangladesh using digital payments, which is consistent with global trends of digital transformation. The research contributes to the theoretical bases and practical implementation as it provides empirical data about the benefits of implementing digital payments. It further highlights the need to have supportive policies, strong digital infrastructure, and advocacy campaigns to deal with the resistance to change, limited access, and unequal digital literacy levels. These are insights that can be used in the firms, politicians, and banks that desire to establish sustainable and competitive supply chain ecosystems
Implementation of Blockchain for Secure, Transparent, and Trustworthy Cross-Border Payments in Global Banking
Get PDFThis paper investigated the application of the blockchain as an innovative solution for secure, transparent and confident cross border payments in global banking. This research was prompted by legacy systems\u27 high costs, slow processing, security concerns, and lack of transparency, which reduced efficiency and user trust. The purposes were to investigate if the blockchain could improve security, transparency, trust, efficiency, adoption intention and use satisfaction of international transactions. The study design was quantitative in nature, and a structured questionnaire was used to collect data via a sampling of banking professionals, fintech gurus, corporate clients and cross-border payers. Data were analyzed through descriptive statistics and frequency distribution to find out the perception of the respondents. The findings showed that the majority of respondents have experienced inefficiencies in the current systems and were confident blockchain will provide a remedy by offering tamper-proof records, real-time tracking of transactions, reduced cost, and faster processing. In addition, the results also showed high adoption intention and favorable satisfaction expectations, which means that blockchain has potential to reshape global banking by decreasing dependence on intermediaries and increasing confidence in institutions. The research showed that clarity of regulation, organizational readiness, and user awareness are key for effective implementation. In summary, we certify that blockchain technology has potential to revolutionize cross-border payments and improve the financial global integrations
Artificial Intelligence as a Formative Tool in Undergraduate Marketing: Integrative Review and Inductive Study
Get PDFArtificial intelligence (AI) is revolutionizing university education and directly changing the training of students. This article integrates a narrative review with an inductive study conducted in Marketing courses and classes at the Fundación Universitaria del Área Andina (Areandina) and the Universidad Nacional Abierta y a Distancia (UNAD) in Colombia. The central hypothesis states that AI should be integrated as a pedagogical tool to enhance creativity and critical thinking without replacing the learning process. Observations in classes and analysis of student work were performed, technological literacy needs and gaps in understanding AI approaches were identified. Descriptive statistics were collected to examine performance evolution (originality, argumentation, traceability), distinguishing between an “executive” use (shortcuts and direct generation of responses) and an “instrumental” use (verification, ideation and defense of strategies). The hypothesis suggests that AI add value when guiding ideation and analysis so that students design and defend their own Marketing strategies, rather than generating them automatically. Collected evidence confirms benefits (efficiency, personalized learning, automated feedback) and risks (technological dependence, academic integrity), requiring authentic process-centered assessment and clear ethical policies. Recent sources indicate high student use of AI for content creation and problem-solving, alongside gaps in specific AI training; institutional practices to reinforce originality and responsible use were documented. AI should not be excessively restricted (or prohibited); instead, ethical and critical use should be promoted within clear institutional guidelines and evaluation designs that prioritize process and defense of strategics and decisions
Exploring Cybernetics Students\u27 Perceptions of AI in Education: A Comprehensive Analytical Study
Get PDFThis study investigates the multifaceted perceptions of cybernetics students toward integrating artificial intelligence (AI) in educational environments. This research uncovers the students\u27 knowledge levels, preferred sources of information, perceived benefits, and significant students through a comprehensive analysis of survey data combined with recent scholarly insights. Detailed visual analyses underscore key trends, offering a clear perspective on how these students view the future of AI in their academic journey. The findings suggest that while students appreciate AI’s utiAI, they express valid concerns about job security and the potential reduction in human engagement. This study contributes critical insights for educators and policymakers aiming to align AI practices with student needs and expectations.
Counteracting Cybercrimes in Florida
Get PDFoai:ojs.pkp.sfu.ca:article/1This article explores Florida\u27s high rate of cybercrime and the efforts being made to combat it. Florida has the second-highest rate of cybercrime events in the United States, with significant financial losses. The most frequent dangers are call center fraud, ransomware, investment fraud, and business email compromise. Strong defense tactics, including multi-factor authentication, safe password policies, cybersecurity training, frequent software upgrades, network segmentation, and dependable backups, are emphasized throughout the text. It also emphasizes the importance of efficient incident response procedures, promoting teamwork, and using continuous monitoring to lessen cyber threats. The essay discusses the vital role that international collaborations and law enforcement play in the battle against cybercrime