In May 2026, the AI and Structured Data Forum, hosted by XBRL US and Center for Research toward Advancing Financial Technologies (CRAFT) at Stevens Institute of Technology, gathered industry leaders from the financial, regulatory, academic, and technology industries to discuss how AI and structured data are reshaping and modernizing financial reporting, auditing, and digital markets. The discussions steered clear of the hype around AI, centering on its practical aspects and offering a grounded assessment of its current capabilities.
The following are some key takeaways from the AI and Structured Data conference:
- Event speakers emphasized that high‑quality, structured, machine‑readable data is the foundation of trustworthy AI for financial reporting.
- Regulatory representatives stressed the importance of machine‑readable disclosures and noted that effectual monitoring, regulation, and standards are crucial as AI becomes more embedded in reporting workflows.
- Audit professionals affirmed that healthy professional skepticism as well as human review and judgement should continue to support accountability and efficacy.
- Research sessions demonstrated how structured, machine-readable XBRL data can enhance CECL modeling, improve anomaly detection, and strengthen the financial‑reasoning accuracy of large language models. Additional discussions explored semantic data modeling, the Legal Entity Identifier (LEI), and the future of tokenization and decentralized finance.
Overall, attendees agreed that generative AI is most dependable when it works behind the scenes, and when its function is accelerating development, not performing financial analysis.
For additional information about the forum, please visit the event’s webpage at xbrl.us.
Source:
CRAFT and XBRL US Convene Industry Leaders for “AI and Structured Data Forum: Optimizing Performance” at Stevens Institute of Technology (xbrl.us)
