Artificial intelligence depends on large and often high-dimensional datasets, creating privacy risks that are not fully addressed by conventional policy statements. Public agencies and infrastructure operators may process health records, mobility traces,...
The decision-making process relies on assumptions, premises, and background, all of which are directed by the objective linked to the choice. The backdrop and assumptions reflect external factors beyond the control of any decision-maker, whereas the...
In the modern digital era, data has become one of the most valuable organizational assets, driving innovation, efficiency, and competitive advantage. However, the mere availability of large volumes of data does not automatically translate into effective...
The growth of contemporary computer hardware and the availability of soft-computing tools have penetrated the market and influenced prospective research across nearly all areas of education. Management education is not exempt from the growing trends...
Smart cities and sustainable infrastructure increasingly rely on artificial intelligence, connected sensors, digital twins, and automated decision systems. These technologies can improve energy efficiency, maintenance, mobility, and service delivery, but...
The rapid advancement of machine learning (ML) has transformed industries by enabling sophisticated data-driven decision-making, yet it has also introduced critical ethical challenges. Ethical data governance frameworks are essential to ensure that ML...
The recent introduction of retrieval-augmented generation (RAG), in which a parametric language model is conditioned on passages fetched from an external, non-parametric memory at inference time, offers enterprises a plausible route to grounding generative...
Higher education institutions (HEIs) are increasingly leveraging data analytics to enhance decision-making processes and improve student outcomes. As academic institutions face mounting challenges such as fluctuating enrollment rates, financial constraints,...
SR 11-7, issued jointly by the Federal Reserve and OCC in April 2011, remains a foundational U.S. standard for model risk management. Its framework is based on three core pillars: sound model development, effective independent validation and challenge, and...
As company networks become more complicated and cyber-attacks more frequent, insider threats have surfaced as a considerable concern to organizational security. Artificial Intelligence (AI) have the capacity to transform how organizations discover and...
Ensemble machine-learning models have achieved striking published results for financial transaction fraud detection, with recent peer-reviewed studies reporting F1-scores as high as 0.99 and accuracy exceeding 99.9 percent on benchmark credit-card fraud...
The rapid digitalization of healthcare has led to the widespread adoption of Cloud-Based Health Information Systems (CHIS), offering enhanced data accessibility, interoperability, and operational efficiency. These systems facilitate real-time access to...
In January 2023, the National Institute of Standards and Technology released the AI Risk Management Framework (NIST AI RMF), a voluntary, sector-agnostic framework organised around four core functions, Govern, Map, Measure, and Manage, developed through a...
The use of artificial intelligence in critical infrastructure creates a new class of cyber-physical and institutional risks. AI systems depend on extensive data pipelines, complex models, software supply chains, cloud services, interfaces, and continuous...
The expansion of artificial intelligence in finance has created a tension between predictive efficiency and accountable decision-making. Financial institutions can now automate classification, risk assessment, customer screening, fraud detection, and...
Startups and SMEs need focus, particularly technology startups; although they are fueled by innovation and advancing technology, they require improved data protection practices. This research seeks to collect data regarding the awareness of startups about...
The integration of artificial intelligence into citizen science has created unprecedented opportunities for scientific discovery, but it has also introduced significant ethical challenges that must be addressed to protect participants, maintain trust, and...
This research study analyzes the transformational impact of Generative AI on Oracle Database Automation, emphasizing its capacity to change data management and analytics. As enterprises increasingly depend on data-driven decision-making, efficient and...
An AI-assisted early-warning model, however accurate, has no operational value until it is embedded in the systems a credit-risk officer, loan-monitoring analyst, or workout specialist actually uses day to day. For community banks and credit unions, this...
This paper introduces a data analytics-driven methodology for supplier onboarding and ERP-based compliance management that expedites qualification, enhances assurance, and reduces lifecycle risk. A standardized digital intake records identity, regulatory,...
This paper introduces a data analytics-driven methodology for supplier onboarding and ERP-based compliance management that expedites qualification, enhances assurance, and reduces lifecycle risk. A standardized digital intake records identity, regulatory,...
Governments worldwide face increasing challenges in responding to disasters and crises, necessitating resilient IT strategies that ensure continuity, adaptability, and efficiency. A robust IT framework for disaster response and crisis management integrates...
Vehicle automation signifies a novel safety paradigm that may require a reevaluation of current safety supervision frameworks. This white paper provides an overview of the technical and regulatory framework regarding the safety of autonomous driving systems...
Enterprise Resource Planning (ERP) systems have become essential for higher education institutions (HEIs), facilitating centralized management of academic and administrative functions. As HEIs face increasing operational complexities, ERP solutions...
The swift embrace of cloud computing has revolutionised contemporary enterprises, facilitating scalable, efficient, and adaptable operations. Nonetheless, it has also presented new security issues, especially in identity and access management (IAM)....
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