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Our fish tank was a model of the real world, but not the world itself. As the British statistician George Box wrote, “All models are wrong, some are useful.” We need to use models to help us navigate the real world, not replace the real world by our models. Another way of saying this is that: we don’t live in our models, and neither do our businesses. Maintain Perspective- Use models as tools for understanding, not as blueprints for reality.

While this is necessary, it is based on an old model where meeting obligations (the act of compliance you start with an integrative, holistic, and proactive approach to meeting obligations, a different model

Continuous Change : Models may be retrained over time, either manually or automatically, as new data Engineering for robustness means testing models under various scenarios, stress conditions, and edge Explainability tools and techniques help uncover what’s driving the model’s decisions, which is essential Engineering includes versioning models, tracking data changes, managing retraining pipelines, and ensuring models continue to meet performance and compliance requirements over time.

Promise Theory, the framework Mark Burgess developed to model autonomous commitment, sits at the heart His observation was that the command-and-control model of managing devices was itself producing vulnerabilities His response was to model a different design principle: devices that govern themselves from within by develops this as a formal proposal: **Promise Agents** — security equipment with embedded, fine-tuned AI models

and foundation models. However, organizations are developing their own specialized models for specific use cases. These custom models require their own risk assessment and safety measures tailored to their particular This means organizations cannot simply rely on foundation model providers to solve all safety problems If you're fine-tuning models, creating retrieval-augmented generation systems, or deploying AI agents

This will look different across industry sectors, but each will have an operational model that must be following maps are helpful to identify where these places are: Total Value Chain Map Organizational Model The Operating Model Canvas book is a good place to start understanding operating models from which you

One is tearing down the model we’ve relied on for decades. Think about what that means for the platform model. The existing model has exhausted its goodwill. The SaaS model — the dominant business model in technology for the past two decades — starts to look Bespoke, AI-generated solutions invert that model.

concept of operations (CONOPS) for these management system standards varies but each follows a similar model illustrated below: Operational Compliance Model - Concept of Operation Successfully implementing these Download our Lean Operational Compliance Model: (Version 4) – Operational Compliance is a state of operability This operational compliance model will help you achieve and sustain operational readiness so that you This model now includes the 5 immutable principles of program success:

assets and dependencies, classifying systems by impact and risk, then mapping controls to data quality, model Roles & Accountability Assign decision rights: executive sponsor, AI/Model Compliance lead, Engineering Strengthen what works, eliminate what doesn't, expand to next-priority systems This is the Lean Startup model risk and control effectiveness over time, using evidence from operations to update your governance model

Regulatory Theorem posited by Conant and Ashby states that "Every Good Regulator of a System Must be a Model Examples of models that we are more familiar with include: a city map which is a model of the actual which is a model of an employee's roles and responsibilities, and so on. In more technical terms the model of the system and the regulator must be isomorphic. The theorem does not state how accurate the model needs to be or the technical characteristics.

As a result many business process modelling and execution systems offer very limited support for other Example Responsibility Assignment Matrix (RAM) using modified RACI model: This often leads to significant The requirements for these tools may include: Representing the entire RACI model along with its variations Automated mapping to BPMN models to support execution platforms Implementation mapping for each type RACI) Support for early and late binding of responsibilities during execution Audit of design, model

Some form of causation model (deterministic, probabilistic, linear, non-linear, etc.) is needed to estimate In cases of greater uncertainty these models will be adjusted over time as more information is gathered defined (ISO 31000, COSO) as the effects of uncertainty on objectives which involves having a causation model