Artificial intelligence (AI) offers immense potential for enterprises, but it also brings a multitude of risks. A robust governance, risk, and compliance (GRC) framework specifically aimed at AI is essential for organisations to maximise value while minimising risks, ensuring ethical use, and maintaining compliance.
Key Points
- Only 24% of organisations have fully enforced AI GRC policies, indicating a significant gap.
- Generative AI is widely accessible to employees, leading to risks such as data leakage.
- AI GRC frameworks proactively address risks like algorithmic bias and transparency issues.
- A well-defined governance structure is crucial for effective AI management.
- Organisations should collaborate across departments to establish comprehensive AI policies.
Why should I read this?
If you’re in the tech world, you can’t afford to miss this! With AI becoming a staple in business operations, understanding how to create a GRC framework specifically for AI is not just important—it’s essential. This article breaks down the critical components for building a resilient AI governance structure, which can save you loads of potential headaches down the line. We’ve done the reading so you can keep your finger on the pulse!
