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In recent years, Artificial Intelligence (AI) and related technologies have been applied to a broad range of applications, have started affecting the life of millions of people and are expected to do so even more in the future. As digital media standards have positively influenced industry and billions of people, so AI-based data coding standards are expected to have a similar positive impact. Moving Picture, Audio, and Data Coding by Artificial Intelligence (MPAI) has been established to develop standards that promote the efficient use of data especially using Artificial Intelligence technologies.

The accomplishment of the MPAI mission is facilitated by two foundational Technical Specifications:

  • Technical Specification: Artificial Intelligence Framework (MPAI-AIF) specifying an environment enabling initialisation, dynamic configuration, and control of AIWs in the standard AI Framework environment depicted in Figure 1. An AI Framework can execute AI applications called AI Workflows (AIW). An AIW can include interconnected AI Modules (AIM).  MPAI-AIF supports small- and large-scale high-performance components and promotes solution with improved explainability.

Figure 1 – The AI Framework (MPAI-AIF) V2 Reference Model

  • Technical Specification: Governance of the MPAI Ecosystem defining the following elements:
    1. Standards, i.e., the ensemble of Technical Specifications, Reference Software, Conformance Testing, and Performance Assessment.
    2. Implementers of MPAI Technical Specifications.
    3. MPAI Store in charge of making AIMs and AIWs submitted by Implementers available to Integrators and End-Users.
    4. Performance Assessors, independent entities assessing the performance of implementations in terms of Reliability, Replicability, Robustness, and Fairness.
    5. End Users.

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