[HTML][HTML] Bias and ethics of AI systems applied in auditing-A systematic review

W Murikah, JK Nthenge, FM Musyoka - Scientific African, 2024 - Elsevier
The integration of artificial intelligence into auditing shows great potential in enhancing
automation and gaining insights from complex data. However, it also presents significant …

A comprehensive review of machine learning approaches for anomaly detection in smart homes: experimental analysis and future directions

MM Rahman, D Gupta, S Bhatt, S Shokouhmand… - Future Internet, 2024 - mdpi.com
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …

[PDF][PDF] Impact of AI on cybersecurity and security compliance

A Folorunso, T Adewumi, A Adewa… - Global Journal of …, 2024 - researchgate.net
Artificial Intelligence (AI) is transforming the field of cybersecurity and resha** security
compliance practices. As cyber threats become increasingly complex, AI offers powerful …

Auditors in the digital age: a systematic literature review

D Leocádio, L Malheiro, JCG Reis - Digital Transformation and …, 2025 - emerald.com
Purpose This study examines the dynamics of innovative auditing practices in the digital
age, with a specific focus on auditor competencies. Within this scope, we highlight the …

Anomaly detection module for network traffic monitoring in public institutions

Ł Wawrowski, A Białas, A Kajzer, A Kozłowski… - Sensors, 2023 - mdpi.com
It seems to be a truism to say that we should pay more and more attention to network traffic
safety. Such a goal may be achieved with many different approaches. In this paper, we put …

[HTML][HTML] Understanding regulatory changes: Deep learning in sustainable finance and banking

BI Anghel, R Lupu - Journal of Risk and Financial Management, 2024 - mdpi.com
This paper examines the regulatory impact on the European Banking Sector using
advanced deep learning techniques to analyze the relationship between Sustainable …

Advancing anomaly detection: Non-semantic financial data encoding with llms

A Bakumenko, K Hlaváčková-Schindler, C Plant… - arxiv preprint arxiv …, 2024 - arxiv.org
Detecting anomalies in general ledger data is of utmost importance to ensure
trustworthiness of financial records. Financial audits increasingly rely on machine learning …

From data to insights: the application and challenges of knowledge graphs in intelligent audit

H Zhong, D Yang, S Shi, L Wei, Y Wang - Journal of Cloud Computing, 2024 - Springer
In recent years, knowledge graph technology has been widely applied in various fields such
as intelligent auditing, urban transportation planning, legal research, and financial analysis …

Financial fraud detection through the application of machine learning techniques: a literature review

L Hernandez Aros, LX Bustamante Molano… - Humanities and Social …, 2024 - nature.com
Financial fraud negatively impacts organizational administrative processes, particularly
affecting owners and/or investors seeking to maximize their profits. Addressing this issue …

Towards a sustainable edge computing framework for condition monitoring in decentralized photovoltaic systems

IA Abdelmoula, SI Kaitouni, N Lamrini, M Jbene… - Heliyon, 2023 - cell.com
In recent times, the rapid advancements in technology have led to a digital revolution in
urban areas, and new computing frameworks are emerging to address the current issues in …