MPAI Publishes The 'AI Passport' Call For Technologies And Starts The 'AI Tools' Standard Project

(MENAFN- Market Press Release) MPAI publishes the 'AI Passport' Call for Technologies and starts the 'AI Tools' standard project August 24, 2026 1:00 am - MPAI has concluded its 71st General Assembly (MPAI-71) publishing the AI Passport Call for technologies and starting the AI Tools standard project.

Geneva, Switzerland – 19th August 2026. MPAI – Moving Picture, Audio and Data Coding by Artificial Intelligence – the international, non-profit, unaffiliated organisation developing AI-based data coding standards – has concluded its 71st General Assembly (MPAI-71) publishing the AI Passport Call for technologies and starting the AI Tools standard project.

The AI Passport (MPAI-AIP) Call for Technologies ( requests interested parties to provide solutions satisfying the functional requirements that enable a human or an AI System to become aware of the parameters that characterise an AI System vis-à-vis its users and the operational context in which the AI is applied. For instance, a human user is searching for an AI System with appropriate functionalities, or satisfying a set of legal or ethical requirements, or providing specified KPIs. Alternatively, a machine may want to know the characteristics of an AI System, e.g., available input and output protocols, computational requirements, specific features of compliance before entering in contact with it.

Two online presentation of the Call will be made on the 10th of September. Register at for the 08:00 UTC and at for the 15:00 UTC presentation.
The AI Tools (MPAI-AIT) standard project intends to develop a series of implementations of AI standard components – AI Modules – and make them available to the community as Open Source Software (3-Clause BSD licence) according to the interoperability principles of MPAI standards.

MPAI is continuing the development of its work plan that involves the following activities:
1 Framework (MPAI-AIF): extending the MPAI-AIF specification to enable a client to access a remote MPAI-AIF Controller and an AI Module to communicate data to another AIM with associate
2 for Health (AIH-HSP): developing the specification of a system receiving and processing licenses AI Health Data and enabling clients to improve health processing models via federated
3 Audio Enhancement (CAE-USC): developing the Audio Six Degrees of Freedom (CAE-6DF) and the Audio Object Rendering (CAE-AOR)
4 Autonomous Vehicle (CAV-TEC): developing a new version of the flagship specification CAV-TEC with security
5 and Understanding of Industrial Data (CUI-CPP): expecting comments on the Company Performance Prediction V2.0
6 Video Coding (MPAI-EEV): exploring the potential of AI-based End-to-End Video coding in compressing video
7 Video Coding (MPAI-EVC): exploring use of AI to enhance the video codec
8 of the MPAI Ecosystem (MPAI-GME): operating the MPAI Ecosystem per the MPAI-GME
9 and Machine Communication (MPAI-HMC): exploring the use of AI in human-to-machine and machine-to-machine
10 Conversation (MPAI-MMC): exploring the impact of the PGM-AUA Call for Technologies on human-to-machine and machine-to-machine
11 Metaverse Model (MMM-TEC): developing security-protected protocols in the MMM-TEC
12 Network Watermarking (NNW-TEC): Developing the new Neural Network Watermarking (MPAI-NNW) – Technologies (NNW-TEC) including assessments of Neural Network Traceability
13 and Scene Description (MPAI-OSD): discussing the impact of MPAI standards planned or under development on MPAI-OSD
14 Avatar Format (MPAI-PAF): discussing the impact of MPAI standards planned or under development on MPAI-PAF
15 Module Profiles (MPAI-PRF): extending the scope of the current version of AI Module
16 Predictive Multiplayer Gaming (MPAI-SPG): exploring new standard opportunities in the
17 Types, Formats, and Attributes (MPAI-TFA) extending the standard to data types used by MPAI standards that are planned or under
18 Venues (XRV-LTP): developing the standard for improved execution of Live Theatrical Performances using AI.

Legal entities and representatives of academic departments supporting the MPAI mission and able to contribute to the development of standards for the efficient use of data can become MPAI members (

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