AI Governance FAQs
What is AI governance?
AI governance refers to the frameworks and practices ensuring responsible AI usage and compliance with established standards.
Why is AI compliance important?
AI compliance is crucial to mitigate risks, ensure ethical practices, and adhere to legal and regulatory requirements in AI applications.
How is AI tested?
AI testing involves evaluating algorithms and models for accuracy, reliability, and adherence to ethical standards before deployment in real-world applications.
What is responsible AI?
Responsible AI means developing and using artificial intelligence in ways that are ethical, transparent, fair, safe, and aligned with human values.
What's the relationship of AI governance, testing and compliance?
AI governance sets the ethical and strategic framework for AI systems, testing validates their adherence through rigorous evaluations, and compliance ensures they meet legal standards, forming a cycle where governance guides testing, and testing supports compliance. Together, they ensure reliable, lawful AI operations.
How can I ensure compliance?
To ensure compliance, organizations should implement robust governance frameworks, conduct regular audits, and stay updated with evolving AI regulations.
AI Governance Services
Expert solutions for AI governance, testing, and compliance.
AI Compliance
Conduct GDPR/PDPA and sectoral compliance checks.
Assess and document algorithmic bias and fairness.
Prepare regulatory filings and audit documentation.
Implement standards like ISO/IEC 42001.
AI Testing
Validate model accuracy and reliability.
Run robustness and adversarial stress tests.
Perform fairness and explainability audits.
Set up continuous monitoring and reporting tools.
AI Governance
Draft AI ethics and governance policies.
Establish internal AI review and accountability boards.
Align AI strategy with corporate risk frameworks.
Advise on global governance trends and interoperability.

