According to a report released by SAS, a global leader in data and AI, the gap between Korean companies' perceived trust in AI and their actual management capabilities has significantly narrowed, dropping from 28.9 points last year to 1.5 points this year.
Key points
•Korea's AI trust gap dropped 27.4 points, from 28.9 points last year to 1.5 points this year.
•Companies with reliable AI systems are 15 times more likely to achieve ROI.
•Data quality and explainability, core foundations of AI, remain areas needing improvement.
SAS Korea released the 'Data and AI Impact Report: The New Economics of Trust,' based on IDC's research insights. The report surveyed 2,699 business and IT decision-makers across 28 countries worldwide.
The report found that companies with reliable AI systems are 15 times more likely to achieve return on investment (ROI) compared to those without. Specifically, top-tier companies with excellent governance, data quality, and auditability recorded an ROI more than double that of others through AI adoption.
Korea's AI trust gap decreased by 27.4 points, falling from 28.9 points last year to 1.5 points this year. The trust gap refers to the difference between how much a company trusts AI (perceived trust) and the actual safety of the system's operation (actual management capability).
This reduction in the gap was attributed to Korean companies rapidly strengthening their AI management and supervision systems. Notably, the 'Model Governance and Supervision' score showed the largest improvement, rising 9.3 points year-over-year to 55.8 points.
However, 'Data Quality and Governance,' a core foundation of AI (53.9 points), and 'Explainability and Fairness' (54.6 points) only saw slight increases. The report identified data quality and explainability as the top priorities for Korean companies moving forward.
