MPAI’s 12th General Assembly (MPAI-12) is not going to be like any of the other previous 12 General Assemblies (MPAI was established at MPAI-0) and the reason is simple to explain. So far MPAI has made big announcements about its plans to develop AI-based data coding standards. In less than two weeks it plans on releasing the first three. At its last General Assembly (MPAI-11), it actually published the WDs of the working drafts of the three standards for “Community Comments”: MPAI- GME, MPAI-CUI, MPAI-MMC.

Comments are flowing in, and this article will briefly describ the content of the 3 standards and remind the community that the deadline for comments is close (20 September).

The first standard is “Governance of the MPAI Ecosystem” (MPAI-GWE). In general, standards have powerful positive effects. MPAI Standards will naturally create an Ecosystem whose Actors are:

  1. Implementers: develop and upload Implementations to the MPAI Store.
  2. Performance Assessors: assess the Performance of Implementations, i.e., their Reliability, Robustness, Replicability and Fairness.
  3. MPAI Store: verifies security, tests Conformance and checks the positive outcome of Performance of Implementations.
  4. End Users download and enjoy Implementations.

A system of this complexity requires governance and “Governance of the MPAI Ecosystem” lays down the rules that the Actors shall follow.

WD0.4 of MPAI-GME is available for Community Comments.

The second standard is “Compression and Understanding of Industrial Data” (MPAI-CUI). Unlike MPAI-GME – a system standard – MPAI-CUI is an application standard that currently contains one use case called AI-based Company Performance Prediction. By extracting key information from the flow of data produced by companies – currently financial and organisational data – and vertical risks – currently seismic and cyber – MPAI-CUI enables users to predict default probability and business discontinuity probability of a company.

WD0.4 of MPAI-CUI is available for Community Comments.

The third standard is “Multimodal Conversation” (MPAI-MMC), an application standard containing 5 use cases making possible a slate of applications enabling industry to accelerate the availability of products, services and applications. Examples are: holding an audio-visual conversation with a machine impersonated by a synthetic voice and an animated face; requesting and receiving information via speech about a dis­played object; inter­preting speech to one, two or many languages using a synthetic voice that preser­ves the features of the human speech.

WD0.4 of MPAI-MMC is available for Community Comments.

These are just the starters of the rich menu of MPAI-12. After the 30th of September, look at the MPAI web site blog for a full report.