The rise of artificial intelligence (AI) has brought about unprecedented opportunities for businesses to improve efficiency, automate processes, and unlock new insights. However, along with these benefits comes the risk of reputational damage and financial loss due to inadequate AI governance.
It is important to address these concerns in order to use AI responsibly and effectively. Companies can ask themselves three critical questions when evaluating AI governance solutions.
Is the solution platform agnostic?
When selecting an AI governance solution, it is essential to consider if the vendor is platform agnostic. Organizations often work across multiple AI tools and platforms. A platform-agnostic solution lets companies govern their AI assets consistently, regardless of the tools used to create them or where they are deployed.
At IBM, we are committed to providing an open and platform-agnostic approach to AI governance. Our AI governance framework lets our clients govern all their AI across any environment. This approach ensures that our clients are not locked into a single vendor or platform, allowing them the freedom to choose the best tools for their specific needs.
Does the vendor know AI?
AI governance is not merely about managing models. It begins with robust data governance. A strong AI governance solution should encompass data management, model development, and production phases. Moreover, the vendor should have a proven track record in operationalizing AI and delivering real business value.
IBM has years of experience in governing models from development through production. We have the expertise and resources to help our clients maximize the potential of their AI investments. Our AI governance framework integrates data governance, model governance, and production governance, ensuring a cohesive and effective approach to AI management.
Does the vendor know governance, risk, and compliance?
Effective AI governance cannot be achieved without a strong foundation in governance, risk, and compliance (GRC). AI risk and compliance must be integrated into enterprise business processes to ensure overall accountability and minimize potential risks.
At IBM, we understand the importance of GRC and have built our AI governance framework to seamlessly integrate with our GRC platform. This integration enables all lineage, metrics, and information about our clients’ models to automatically flow into our GRC platform, providing a unified view of their AI operations and ensuring compliance with relevant and ever-changing regulations and standards.
By asking the right questions, companies can evaluate vendors and select a solution that offers an open, proven, and integrated approach to AI governance. As businesses continue to embrace AI, it is crucial to address the associated risks and ensure that governance practices are in place.
