Past one year after its foundation, MPAI makes an assessment of its activities carried out based on the MPAI Manifesto.

A concise expression of the mission of MPAI – Moving Picture, Audio and Data Coding by Artif­icial Intelligence – the one-year old international, unaffiliate, not-for-profit Standard Developing Organisation (SDO) is:

to develop usable AI-based standards for data coding, i.e., the transformation of data from a format to another more suitable for an application.

The last 12 months have been an incredibly exciting ride summarised by the following achievements:

  1. A 5-phase rigorous standards development process implementing the mission:
    1. anybody can participate in and con­tribute to the definition of the functional requirements of a new standard,
    2. Principal Members define the Framework Licence – the equivalent of the real world commer­cial requirements,
    3. Members develop the standard,
    4. the MPAI Community comments on the draft standard, and
    5. Principal Members approve the standard.
  2. A practical approach at the development of data compression standards where standardisation is kept at the minimum that enables interoperability of components, based on
    1. reusable standard components called AI Modules (AIM),
    2. organised in standard AI Workflows (AIW)
    3. executed in a standard AI Framework (AIF).
  3. The Governance of the MPAI Ecosystem, implemented as specified by the Governance of the MPAI Ecosystem (MPAI-GME) standard, composed of:
    1. MPAI;
    2. Implementers of MPAI standards;
    3. Assessors of the Performance of MPAI standards assessing their Reliability, Robustness, Fairness and Replicability;
    4. the MPAI Store, a commercial not-for-profit entity, verifying the security, conformance and performance of im­plementations, and publishing them with appropriate interoperability labels;
    5. End Users. The governance is .
  4. The implementation of the process for its first standards:
    1. AI Framework (MPAI-AIF), currently open to Community Comments;
    2. Context-based Audio Enhancement (MPAI-CAE), currently open to Community Comments;
    3. Multimodal Conversation (MPAI-MMC), whose Technical Specification has been published;
    4. Compression and Understanding of Financial Data (MPAI-CUI), whose full set of Technical Specification, Reference Software, Confor­mance Testing and Performance Testing have been published.
    5. Governance of the MPAI Ecosystem (MPAI-GME).
  5. Application of the process for other standards:
    1. applying of AI to new generations of video compression standards starting from an established standard (MPAI-EVC) and using the end-to-end approach (MPAI-EEV);
    2. preserving the user experi­ence in on-line gaming high-latency conditions using AI to predict missing data (MPAI-SPG);
    3. acceler­ating the development of the Connected Autonomous Vehicle industry through the definition of standard AI-based components (MPAI-CAV);
    4. enriching the user experience of the mixed-reality collaborative spaces through AI (MPAI-MCS);
    5. supporting computation-intensive genomic data processing through AI (MPAI-GSA).

MPAI has demonstrated that the principles of the MPAI Statutes can be put to practical use:

  1. it is the only SDO engaged in AI-based data coding across the full spectrum of data types open to corporate and academic members capable to contribute to the achievement of its mission,
  2. it develops standards with a process that ensures timely access to essential Intellectual Property including the general public at appropriate times;
  3. it governs an ecosystem offering End Users access to the promised benefits of AI by allowing user-selectable levels of transparency, trust and reliability.

MPAI calls on the industry to join and leverage their membership in MPAI to share their ideas about the most powerful tool to develop industry while serving humankind: timely usable standards powered by the best technologies.

Join the fun, build the future.

MPAI Manifesto

Use of technologies based on Artificial Intelligence (AI) is extending to more and more applic­ations yielding one of the fastest-grow­ing markets in the data analysis and service sector.

However, industry must overcome hurdles for stakeholders to fully exploit this historical oppor­tunity: the current framework-based development model that makes applic­ation redep­loyment difficult, and monolithic and opaque AI applications that generate mistrust in users.

MPAI – Moving Picture, Audio and Data Coding by Artificial Intelligence – believes that univer­sally accessible standards can have the same positive effects on AI as digital media stan­dards and has identified data coding as the area where standards can foster development of AI tech­nologies, promote use of AI applications and contribute to the solution of existing problems.

MPAI defines data coding as the transformation of data from a given representation to an equiv­alent one more suited to a specific application. Examples are compression and semantics extraction.

MPAI considers AI module (AIM) and its interfaces as the AI building block. The syntax and semantics of interfaces determine what AIMs should per­form, not how. AIMs can be implemented in hardware or software, with AI or Machine Learning legacy Data Processing.

MPAI’s AI framework enabling creation, execution, com­pos­ition and update of AIM-based work­flows (MPAI-AIF) is the cornerstone of MPAI standardisation because it enables building high-com­plexity AI solutions by interconnecting multi-vendor AIMs trained to specific tasks, operating in the standard AI framework and exchanging data in standard formats.

MPAI standards will address many of the problems mentioned above and benefit various actors:

  • Technology providers will be able to offer their conforming AIMs to an open market
  • Application developers will find on the open market the AIMs their applications need
  • Innovation will be fuelled by the demand for novel and more performing AIMs
  • Consumers will be offered a wider choice of better AI applications by a competitive market
  • Society will be able to lift the veil of opacity from large, monolithic AI-based applications.

Focusing on AI-based data coding will also allow MPAI to take advantage of the results of emer­ging and future research in representation learning, transfer learning, edge AI, and reproducibility of perfor­mance.

MPAI is mindful of IPR-related problems which have accompanied high-tech standardisation. Unlike standards developed by other bodies, which are based on vague and contention-prone Fair, Reasonable and Non-Discriminatory (FRAND) declarations, MPAI standards are based on Frame­work Licences where IPR holders set out in advance IPR guidelines.

Finally, although it is a technical body, MPAI is aware of the revolutionary impact AI will have on the future of human society. MPAI pledges to address ethical questions raised by its technical work with the involvement of high-profile external thinkers. The initial significant step is to enable the understanding of the inner working of complex AI systems.