Liliya Hogaboam

Papers

Total Citations

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About

Liliya Hogaboam is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence and financial services, with a particular focus on how machine learning and AI technologies are reshaping traditional professional domains. Her scholarship addresses two of the most consequential application areas for AI in business: the accounting and auditing profession, and the insurance industry. In her 2022 paper on AI in accounting and auditing, which has garnered 17 citations, Hogaboam explores how intelligent systems are transforming processes such as fraud detection, financial reporting, and compliance monitoring — areas where accuracy and reliability are paramount. Her companion piece on AI in insurance, also published in 2022, extends this inquiry into risk assessment, claims processing, and underwriting automation, accumulating 5 citations since its release. Together, these contributions position Hogaboam as a thoughtful voice in the growing conversation about responsible AI adoption in regulated financial sectors. Her work is particularly valuable for practitioners, policymakers, and students seeking to understand both the opportunities and challenges that AI presents to established professional frameworks in finance.