Financial statement fraud causes systemic damage to U.S. capital markets, investor confidence, and the credibility of public company disclosures. Artificial intelligence (AI) offers promising new detection capabilities, yet its evidence base and operational readiness remain unevenly developed across the literature. Thi...
Daniel Adu Boateng, A. Ampomah-Britwum, Valerie Colley et al.· Magna Scientia Advanced Rese...· 0 citations
This critical literature review summarizes peer-reviewed literature (20202026) on AI adoption to the U.S. tax compliance and revenue systems, evaluating reported outcomes, methodological conflicts, and governance needs.
Issabella Ampofo, David Amoako, Mary Magdalene Linda Yeboah· Magna Scientia Advanced Rese...· 0 citations
This narrative review draws together peer-reviewed literature from 2020 to 2026 on AI-driven privacy-preserving techniques like federated learning, differential privacy, homomorphic encryption, secure multi-party computation, and blockchain-AI hybrids applied to US healthcare cybersecurity to strengthen privacy alongsi...
Isaiah Thompson Ocansey, Mary Magdalene Linda Yeboah· Magna Scientia Advanced Rese...· 0 citations
The present study is a synthesis of multidisciplinary literature that would create a combined conceptual framework of how data-driven monitoring systems would improve the internal financial controls within US government agencies.
H. A. K. Dankwah, Mary Magdalene Linda Yeboah· Journal of Economic, Finance...· 0 citations
This review synthesizes cross-sector evidence to identify structural, operational, and technological barriers to harmonization, while proposing an integrative governance perspective grounded in recent empirical and policy literature.
William Asare Yirenkyi, G. Apaflo, Matilda Konotey et al.· Magna Scientia Advanced Rese...· 0 citations
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