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today's monthly "Elevate Compliance Webinar" participants learned strategies and methods for effectively governing Governance in the AI era requires more than traditional oversight; it requires proactive measures like Moreover, they are unlikely to harmonize globally, which will make governance more complex. Methods of AI Governance: Governance must balance two types of terrains: order (predictability) and chaos A Program to Govern AI: A comprehensive AI governance program should include four elements: AI Code of

GRC is an acronym for: governance, risk, and compliance which originated from the management consulting This method of governance has been used for years for assuring the integrity of financial statements GRC would not bear the primary weight for governance, risk and compliance, but would connect the board

Therefore, it is important to have a governance framework in place to ensure that AI systems are designed As a result, AI governance, assurance, and safety are increasingly important and necessary. AI Governance AI governance refers to the set of policies, regulations, and practices that guide the These functions will impact compliance in the following ways: AI Governance : AI governance refers to to introduce AI governance, assurance, and safety: Establishing AI Regulatory Frameworks : Governments

The Corporate Governance Perspective: Foresight & Oversight Think of corporate governance as standing The Operational Governance Perspective: Steering & Regulation Now, let's shift to operational governance If corporate governance is about looking through the telescope, operational governance is about having Corporate governance loses its ability to provide effective oversight, while operational governance struggles Corporate governance sets the destination and watches for icebergs, while operational governance keeps

This is best accomplished by having effective Operational Governance – the proactive side of compliance In this blog post, we explore three essential functions of Operational Governance that will enable organizations Provide Vision and Direction: At the heart of effective Operational Governance lies a clear vision Effective Operational Governance demands a systematic evaluation of internal processes, the establishment Embrace the power of Operational Governance , and watch your organization flourish as you confidently

Each organization will and should determine how they will govern the use of AI and the risks associated Much of this is not governed and without oversight. How are you governing your use of AI. What standards are you using?

Paper-based governance—rooted in static policies, procedures, and compliance checklists—was designed Paper-based versus Operational Governance Why Paper Policies Fall Short Paper-based governance relies Building Operational Governance Systems The shift from paper-based to operational governance systems To govern these systems effectively, organizations must embrace governance mechanisms that are as intelligent Paper-based governance, while foundational, is no longer sufficient.

Getting Governance Right Companies need clear rules for using AI safely. The establishment of ISO 42001 as an audit standard signals the maturing governance landscape. Regional differences significantly impact how organizations approach AI adoption and governance. suggestion to "define KPIs for AI that should be part of governance." and evaluated within governance frameworks.

That’s why a static, paper-based policy will never be enough to govern (i.e. regulate) the use of AI. Governance – the means of regulation – must be as capable as AI.

The distinction between Enterprise Resource Planning (ERP) and Governance, Risk, and Compliance (GRC) GRC: The Feed-Back Compliance System Governance, Risk and Compliance In contrast, most GRC platforms Governance frameworks become bureaucratic reporting mechanisms rather than operational guidance systems all obligation requirements and commitments are met, risks are mitigated before they materialize, and governance Organizations seeking more effective governance, risk management, and compliance outcomes should consider

They watched as their governance structures evolved from merely existing to actively anticipating challenges The Lean Compliance Easter Egg The way our program elevates GRC is by transforming: From reactive Governance to proactive governance — We don’t just ensure governance structures exist; we help them learn to steer Others continue to hunt, fill their baskets with more governance structures, management frameworks, risk

Federal and provincial governments are crafting legislation and policies, but these efforts are disjointed Proposed strategies often emphasize establishing entirely new AI governance frameworks. With legislative authority, self-governance, and a robust code of ethics, engineers already have the might be considered: Provincial engineering regulators should collaborate with federal and provincial governments Governments and industry should work together to create funding opportunities that support research and