Capitalised Terms in CUI-CPP V2.0 have the meaning defined in Table 1.

A dash “-” preceding a Term in Table 1 indicates the following readings according to the font:

  1. Normal font: the Term in the table without a dash and preceding the one with a dash should be read after that Term. For example, “Risk” and “- Assessment” will yield “Risk Assessment”.
  2. Italic font: the Term in the table without a dash and preceding the one with a dash should be read before that Term. For example, “Descriptor” and “- Financial” will yield “Financial Descriptors.”

All MPAI-specified Terms are defined online.

Table 1 – MPAI-CUI terms

Term Definition
Business Discontinuity An interruption of the operations of a company for a period of time less than 2% of the Prediction Horizon.
Company Default The status of a company who has failed to make full and timely payments on its obligations.
Descriptors
–       Financial Data produced based on a set of accounting principles driving maintenance and reporting of company accounts so that financial statem­ents can be consistent, transparent, and comparable across companies.
–       Governance A set of indices/parameters that are used to assess the adequacy of the organisational model.
–       Organisation A set of indices/parameters that include an Company Assessment and a vector of numbers representing the importance of a particular Governance Descriptor on the Company Assessment.
–       Primary Default The following:
1. The Primary Default Probability.
2. Two vectors of numbers representing the importance of a particular Governance Descriptor (1st vector) and a particular Financial Descriptors on the Primary Default Probability.
–       Primary Discontinuity The following:
1. A vector of Primary Discontinuity Probabilities for each Machine Learning Model processing a Risk.
2. A matrix of numbers representing the importance of a particular Governance Descriptor (1st vector) and a particular Financial Descriptors on the Primary Default Probability.
Prediction Horizon Number of months for which prediction is sought.
Secondary Risk Matrix A table composed of two rows for the risks and four columns for the charac­teristics. Table 1 gives the four characteristics for the Vertical Risks considered.
Risk
–       Assesssment Attributes indicating the internal company assessment to identify and measure potential or existing Vertical Risks, and their impact on Business Continuity.
–       Cyber Risk of financial loss, disruption, or damage, caused by the failure of the digital technologies due to unauthorised access, use, disclosure, disruption, modification, or destruction of the systems.
–       Matrix Table composed of two rows for the risks (cyber and seismic) and four columns for the characteristics (occurrence, business impact, gravity and risk retention) as evaluated by the company.
–       Primary Risk for which a trained AI model is available for processing.
–       Secondary Risk for which a trained AI model is not available and its impact is estimated based on Prediction Result Perturbation processing.
–       Seismic Risk The measure of the possible losses associated with the behavior of a building or structure in likely earthquakes.
–       Vertical A risk that must be understood in a specific context/domain of the business.
Statements
– Financial  Statements by the Company being assessed about Company financial data.
– Governance Statements by the Company being assessed about Company governance.
– Primary Risk Statements by the Company being assessed about the Risks for which compliant Machine Learning Modules are available in the CUI-CAP.
– Secondary Risk Statements by the Company being assessed about the Company-perceived first level Risks of the Risk Taxonomy.