It combines three ideas: the DIKIW model (Data, Information, Knowledge, Intelligence, Wisdom), the stages Model reality at the level of knowledge. Augment reality at the level of intelligence. We are now modelling it with machine learning.

of the AI governance being proposed today looks like a flight recorder: inventories of AI systems, model The Conant-Ashby theorem tells us that every good regulator of a system must be a model of that system To regulate it, we need a model of how it should behave and the means to keep it there.

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

In this presentation he proposed the digital twin as a conceptual model underlying a product life-cycle However, the idea of modelling the real-world with computer simulation is not new and can go back to What makes digital twins different from computer-based modelling are the connections between the real In essence, a model becomes a digital twin when it connected with its real life counterpart. The digital thread is a critical capability in model-based systems engineering (MBSE) and the foundation

Goal Structure Notation & Claim Trees Applied to Obligations & Promises Compliance Model The Core Problem Lean Compliance Operational Model The Lean Compliance Operational Model recognizes that obligations Goal Structure Notation (GSN) Example For compliance using the Lean Compliance model, your top goal is When applied to the Lean Compliance Operational Model these are evidence that commitments (i.e. promises Your strategy is to demonstrate this through the operational model layers.

Large language models didn't just process that data — they internalized it.

AI algorithms within digital twins enable predictive modeling and optimization, but they may also amplify Additionally, complex AI models may lack interpretability, hindering decision-makers' ability to trust

To understand this better we developed the following compliance operational model: Compliance Operational Model This model comprises what's needed to continuously deliver on promises to maintain a state of MVC is not achieved at the end of a 5-step maturity model, but right at the start.

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

Models are probabilistic. They are composed with other models and tools, and they are deployed into environments that keep changing

The PLUS Decision Making model developed by The Ethics Resource Center can help organization’s make better generations to meet their own needs.” - United Nations This is another test we could add to the PLUS model

It operates on a predictable model where potential failures can be identified, quantified, and mitigated Expanding Beyond Failure Mode Analysis Traditional safety models operate on a binary framework of function ISO 21448 uses the "Three Circle Behavioural Model" to illustrate where possible gaps may exist in overall In this model safe behaviour is categorized by: The desired behavior is the ideal (and sometimes aspirational The framework provides a conceptual model for understanding safety in any system that must make intelligent