Summary
Singapore's Model AI Governance Framework, released in its second edition in January 2020, provides detailed and implementable guidance to private sector organizations to address key ethical and governance issues when deploying AI solutions. The framework translates ethical principles into practical recommendations that organizations can adopt.
Key Obligations
- •Implement internal governance structures and measures for AI systems
- •Determine appropriate levels of human involvement in AI-augmented decision-making
- •Ensure operations management with sound data governance practices
- •Provide transparent communication to stakeholders about AI use
Enforcement
Regulator
Info-communications Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC)
Penalties
As a voluntary framework, there are no direct penalties for non-compliance. However, adherence may be considered in regulatory assessments.
Audit Mechanism
Organizations can use the AI Verify toolkit for self-assessment and validation of AI systems.
Applicable To
- •Private sector organizations deploying AI solutions
- •Technology companies developing AI systems
- •Organizations using AI for decision-making processes
AI-GPM Coverage
Our platform provides comprehensive coverage of Singapore's Model AI Governance Framework, with automated assessment tools aligned with the AI Verify toolkit and ready-to-use templates for implementing the four key components of the framework.
Resources
Overview
Singapore's Model AI Governance Framework, released in its second edition in January 2020, provides detailed and implementable guidance to private sector organizations to address key ethical and governance issues when deploying AI solutions. The framework translates ethical principles into practical recommendations that organizations can adopt.
While voluntary, the framework has been recognized internationally and has influenced AI governance approaches in other countries. It is complemented by the AI Verify testing framework and toolkit, which helps organizations validate their AI systems.
Key Components
Internal Governance
- 1Clear roles and responsibilities for AI governance within organizations
- 2Risk management and internal controls for AI deployment
- 3Staff training and standard operating procedures for AI systems
Determining AI Decision-Making Model
- 4Level of human involvement in AI-augmented decision-making
- 5Risk-based approach to determine appropriate level of human oversight
- 6Clear processes for human review of AI decisions
Operations Management
- 7Data governance practices throughout the AI lifecycle
- 8Understanding data lineage and provenance
- 9Regular review and update of AI models
Stakeholder Interaction & Communication
- 10General disclosure of AI use to end users
- 11Explainability of AI-driven decisions to affected individuals
- 12Feedback channels for stakeholders to report issues with AI systems
Implementation Timeline
January 2019
First edition of the Model AI Governance Framework released
January 2020
Second edition released with enhanced guidance based on industry feedback
2021
Implementation and Assessment Guide for Organizations released
2022
AI Verify testing framework and toolkit launched
How Our Platform Helps
Governance Implementation
Our platform helps implement the four key components of the Model AI Governance Framework with ready-to-use templates and workflows.
AI Verify Integration
Seamless integration with Singapore's AI Verify toolkit for comprehensive testing and validation of AI systems.
Documentation Generation
Automatically generate documentation demonstrating adherence to the Model AI Governance Framework for stakeholders and regulators.
Need Help With Compliance?
Our platform automates compliance with Model AI Governance Framework and other global AI regulations.