Enhancing the Effectiveness of AI Governance Committees

May 13, 2024

Organizations are increasingly deploying artificial intelligence (AI) systems to drive innovation and gain competitive advantages. Effective AI governance is crucial for ensuring these technologies are used ethically, comply with regulations, and align with organizational values and goals. However, as the use of AI and AI regulations become more pervasive, so does the complexity of managing these technologies responsibly.

Given this increased complexity, many organizations are setting up AI Governance Committees. These committees – often centralized – play a pivotal role in orchestrating the organization’s AI strategy, tasked with overseeing the deployment, risk management, and operation of AI systems. However, many committees face challenges due to lack of AI competencies and tools tailored to manage these specific responsibilities efficiently.

AI Governance Committees must be empowered to leverage software solutions like Trustible oversee all levels of AI Governance (not just governance of the models or AI systems themselves). These include:

This white paper discusses how Trustible can transform AI governance committees from a strategic oversight body to an efficient operational powerhouse. We will explore Trustible’s alignment with the needs of these committees, detail its benefits, and provide actionable strategies for successful implementation. These include:

Develop AI Policies – Establish AI usage standards & internal rules
Inventory AI Use Cases – Centralize all use cases, models, data, and vendors
Identify and Mitigate AI Risks & Harms – Continuously assess and mitigate risks & harms
Comply at Scale – Ensure adherence to regulations & standards

Download the Whitepaper

Shadow AI: What It Is, Why It Matters, and What To Do About It

Shadow AI has climbed to the top of many security and governance risk concerns, and for good reason. But the phrase itself is slippery: different teams use it to mean different things, and the detection tools being marketed as ‘Shadow AI detectors’ often only catch a narrow slice of the problem. That mismatch creates confusion for security and compliance teams, and business leaders who only want one thing: reduce data leakage, regulatory exposure, and business risk without strangling the organization’s ability to innovate.

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