Page 112 - CMP3
P. 112

                                    Box Article 3
 GOVERNANCE IN A GLANCE: THE USE OF AI TO MONITOR CG
Since 2018, the SC has leveraged an internal system – Governance in a Glance (GiG) – which uses AI to monitor the adoption of the MCCG and evaluate the quality of CG disclosures by PLCs.
The AI uses natural language processing and machine learning technique to extract data on the adoption of the MCCG best practices as well as CG disclosures and evaluate these disclosures against predetermined parameters. The evaluation results are then summarised on an interactive dashboard.
KEY OBJECTIVES OF GIG
                                Enable efficient monitoring of the MCCG adoption and the evaluation of CG disclosures
Automate the extraction of data from the annual CG disclosures across all PLCs, which was previously
a manual and resource intensive exercise
Gather insights on CG practices, including areas which may require regulatory intervention
Enable the SC to take evidence- based regulatory measures to improve CG culture and practices
110 SECURITIES COMMISSION MALAYSIA
   























































































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