Abstract Artificial Intelligence has significantly transformed accounting and financial decision-making by improving automation, analytical precision, fraud detection, forecasting, and operational efficiency within modern commercial environments. Intelligent computational applications increasingly support auditing, taxation, reporting, budgeting, and strategic evaluation, thereby reshaping professional accounting practice and institutional operations. Despite these advantages, ethical concerns relating to computational distortion, confidentiality breaches, cybersecurity vulnerabilities, procedural opacity, and unclear accountability continue to challenge responsible technological deployment. Automated analytical systems may unintentionally reinforce discrimination, weaken transparency, and reduce stakeholder confidence when sufficient safeguards are absent. Technological expansion has also altered workforce structures, competency expectations, and professional identity within accounting environments. Sustainable integration, therefore, requires principled governance, ethical supervision, continuous professional development, regulatory coordination, and human-centred operational frameworks. Responsible modernisation depends on balancing computational capability with professional judgment, fairness, interpretability, and institutional accountability to preserve public trust, organisational legitimacy, and ethical financial practice within increasingly digitised global ecosystems.
Mojisola Oladunni Jacob-Udeme (2026) studied this question.