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TRUVACE RECORD VERSION
record: TRV-2026-1777
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-18T01:10:37.145249Z
status: published
lens: trace
sector: labor
headline: ARTIFICIAL INTELLIGENCE IN ACCOUNTING AND AUDITING: TRANSFORMING FINANCIAL DECISION-MAKING AND PROFESSIONAL PRACTICES
dek: Abstract: The emergence of Artificial Intelligence (AI) has significantly transformed accounting and auditing practices across organizations worldwide. The increasing availability of financial data, advancements in machine learning algorithms, and the demand for real-time financial information have accelerated the adoption of AI-driven technologies in accounting and auditing functions. Traditional accounting systems primarily relied on manual data processing and periodic reporting, whereas AI enables continuous…
gain_title: AI-driven tools in auditing can improve fraud detection, risk assessment, and anomaly identification by automatically analyzing large volumes of financial data, supporting efficiency and accuracy.
problem_title: AI adoption in accounting and auditing raises concerns about data privacy, algorithmic bias, transparency, ethical accountability, and workforce readiness.
trace_subject: AI in accounting and auditing practice
gain_reading: AI-driven tools in auditing can improve fraud detection, risk assessment, and anomaly identification by automatically analyzing large volumes of financial data, supporting efficiency and accuracy.
gain_evidence: AI enhances fraud detection, risk assessment, anomaly identification, and audit quality
problem_reading: AI adoption in accounting and auditing raises concerns about data privacy, algorithmic bias, transparency, ethical accountability, and workforce readiness.
problem_evidence: the adoption of AI also raises concerns regarding data privacy, algorithmic bias, transparency, ethical accountability, and workforce readiness
quick_read: A conceptual review of recent academic literature and professional reports examines how AI is changing accounting and auditing. It describes a shift from manual data processing and periodic reporting toward continuous monitoring, predictive analytics, automated transaction processing, and intelligent decision support.

The review matters because it frames AI as a complement to human expertise rather than a replacement, while also flagging governance and skills risks. Because the study is conceptual and not an empirical test, the size of the benefits and the severity of the risks in real firms remain unmeasured.
limitation: The study is conceptual and based on a literature and professional report review, so it does not provide original empirical measurement of AI's effects in accounting or auditing firms.
tag: Dual reading
key_points: The paper links AI adoption to growing financial data volumes, better machine learning algorithms, and demand for real-time financial information. | Technologies covered include machine learning, natural language processing, robotic process automation, and generative AI. | In auditing, AI is said to analyze structured and unstructured financial data to support fraud detection and audit quality. | The paper reports that AI enhances efficiency, accuracy, and strategic decision-making while complementing human expertise.
rundown: The paper contrasts traditional accounting systems, which relied on manual data processing and periodic reporting, with AI-enabled systems that offer continuous monitoring and predictive analytics. It says these tools have redefined professional roles and changed how financial information is generated, analyzed, and interpreted.

It also lists challenges that accompany adoption: data privacy, algorithmic bias, transparency, ethical accountability, and workforce readiness. The study evaluates both benefits and challenges and discusses implications for accounting professionals.
sources:
- peer_reviewed | RCHUB JOURNAL OF CONTEMPORARY TRENDS IN MANAGEMENT COMMERCE AND ECONOMICS (JCMCE) | https://doi.org/10.65725/jcmce/2/4/002 | 2026-10-13
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