Conducted by AI and international standards experts at AIQURIS, this report offers an independent assessment of CV screening systems employed within Singapore’s financial services sector. The evaluation adheres to the Monetary Authority of Singapore (MAS) regulatory framework, aligning with the FEAT (Fairness, Ethics, Accountability, and Transparency) Principles for AI Risk Management. This comprehensive analysis provides a robust, multidimensional approach to mitigating systemic risks associated with the deployment of AI technologies in highly regulated sectors:
- Fairness & Bias: Potential for indirect discrimination due to training data imbalances
- Ethics & Impact: Lack of documented assessments on societal and human impacts of model use
- Accountability & Governance: Weak evidence of internal oversight or defined accountability structures
- Transparency & Explainability: Limited explainability of ranking outputs for affected individuals or reviewers
- Legal & Regulatory: Incomplete documentation of consent procedures and regulatory exposure
- Monitoring & Stability: No structured monitoring of model drift or performance decay
- Cyber Security & Data Privacy: Four high-severity gaps in encryption, access control, and data handling
Download the full report to identify critical risk exposures, strengthen governance practices, and ensure your AI hiring systems meet regulatory and operational expectations.
