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Operational Compliance Landscape When viewed through an operational lens, governance is not just oversight Governance is the act of regulating organizational effort towards organizational values. conform  to standard practices. ▸ We use management programs to achieve  performance targets. ▸ We use governance Together, these functions regulate the organization — bridging the gap between the ENDS and the MEANS. ▸ Governance You haven't made governance operational — and part of how you keep your organization between the lines

AI Governance, Assurance, and Safety As AI becomes more prevalent and sophisticated, it is being used 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

Governance begins with the work. What is the work that needs to be done? Much of the current AI governance discourse has inverted this. What's missing is everything that used to govern the journey. new governance apparatus. Treat capability expansion as a governance event.  

Train AI agents to participate in the governance loops that already exist. You lose governance. This will fail — because it treats AI governance as separate from organizational governance. The governance architectures needed to govern AI agents are not new. They already exist. Self-regulation within the existing governance architecture is a condition of entry into the enterprise

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

AI governance policies typically describe what organizations intend to do. Seven Elements of Operational AI Governance 1. Clear accountability prevents governance failure. 3. Operational Controls Data governance for quality and provenance. Is your AI governance capable of ensuring and protecting Total Value?

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

industries and societal structures, we face an unprecedented regulatory challenge: how do you effectively govern Yet most current AI governance efforts remain trapped in conventional compliance paradigms: reactive The answer lies in applying cybernetic principles—the science of governance and control—to create regulatory function requiring sufficient variety, accurate modeling, and ethical accountability, we can design AI governance Without deliberately designing ethical requirements into our AI regulatory systems, we risk creating governance

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 has led me back to some foundational work in cybernetics—ideas that help us think about governing Your governance needs to learn and adapt, or it becomes irrelevant quickly. This changes how I think about AI governance. Instead of trying to make the black box transparent, we focus on governing what we can actually control I've been working through these ideas in more detail—how cybernetic principles apply to AI governance

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?