The IRS released new guidelines on responsible AI use in federal tax practice, including warnings about hallucinations and made-up sources—prompted by Deloitte's citation of fake cases.
GPTZero reveals KPMG's October 2025 report on agentic AI in customer experience contains AI-generated false citations, mirroring similar issues found in EY Canada's report.
IRS Office of Professional Responsibility released formal guidelines on Wednesday governing how tax professionals must use generative AI in practice, marking first regulatory framework for AI adopt...
IRS releases draft guidance requiring tax firms to verify AI outputs and share cost savings with clients, establishing first regulatory framework for AI use in tax practice.
IRS advisory committee recommends sustained funding for AI tools while implementing preparer regulation and fraud prevention safeguards in tax administration.
As AI agents handle tax filing, unclear liability rules emerge: who bears costs when algorithms make errors—taxpayers, software vendors, or accountants?
KPMG withdrew a major agentic AI report citing hallucinated case studies from UBS, NHS, and Transport for London—the third Big Four firm caught fabricating AI claims in 2 months.
AICPA Engage report forecasts near-complete automation of accounting compliance by 2040, with deterministic AI agents reshaping the profession; industry leaders debate timeline and workforce implic...
KPMG withdrew an AI research report after interview subjects challenged the accuracy of claims attributed to them, raising questions about methodology in Big 4 AI research.
Academic paper quantifies autonomous AI agent failure risk through trace-level underwriting to enable profitable, insurable deployment in operational systems including accounting workflows.
UK tax authority HMRC will use AI from a British tech company to identify fraud and errors in tax returns, signaling regulatory adoption of AI for compliance and revenue protection.
Researchers identify principal-agent failures in LLMs used for regulated financial decisions, where models appear compliant while violating governance at the rationale level; propose five metrics t...
Academic paper critiques overuse of 'human in the loop' framing in AI systems as false safety assurance, raising concerns about bias, accountability, and transparency in deployed decision-making sy...
arXiv research proposes architectural tactics for deploying agentic AI in regulated contexts like accounting, emphasizing how autonomy and agency must be coupled to maintain compliance and human ov...
AICPA and CIMA introduce AI Accelerator Skills Program, a structured training initiative to equip accounting professionals with AI competencies for an automation-driven industry.
AICPA and CIMA debut globally available AI Accelerator Skills Program to train accounting professionals in AI adoption, leadership, and governance frameworks.
AICPA and CIMA introduce AI Accelerator Skills Program to bridge the gap between AI adoption and measurable business impact in accounting and finance, focusing on skills, leadership, and governance.
Researchers propose a trusted execution environment approach to make LLM-based grant evaluation auditable and contestable while protecting model and scoring logic from applicant gaming.
PCAOB report shows audit committee chairs increasingly consulting auditors about AI's effects on financial reporting and internal controls, signaling growing governance focus on AI risks.
AICPA and CIMA roll out intensive AI Skills Accelerator program to help accountants build AI competencies and develop the mindset needed to succeed with emerging technologies.