MPAI publishes the "AI Passport" Call for Technologies and starts 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 (https://mpai.community/standards/mpai-aip/v1-0/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 https://us06web.zoom.us/meeting/register/_4RJxO5xRRyA_zP937Qs_g for the 08:00 UTC and at https://us06web.zoom.us/meeting/register/_rzgr2A9RJWTbhyVYf-Kpw 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.AI Framework https://mpai.community/standards/mpai-aif/ (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 metadata.
2.AI for Health https://mpai.community/standards/mpai-aih/ (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 learning.
3.Context-based Audio Enhancement https://mpai.community/standards/mpai-cae/ (CAE-USC): developing the Audio Six Degrees of Freedom (CAE-6DF) and the Audio Object Rendering (CAE-AOR) specifications.
4.Connected Autonomous Vehicle https://mpai.community/standards/mpai-cav/ (CAV-TEC): developing a new version of the flagship specification CAV-TEC with security support.
5.Compression and Understanding of Industrial Data https://mpai.community/standards/mpai-cui/ (CUI-CPP): expecting comments on the Company Performance Prediction V2.0 specification.
6.End-to-End Video Coding https://mpai.community/standards/mpai-eev/ (MPAI-EEV): exploring the potential of AI-based End-to-End Video coding in compressing video sequences.
7.AI-Enhanced Video Coding https://mpai.community/standards/mpai-evc/ (MPAI-EVC): exploring use of AI to enhance the video codec performance.
8.Governance of the MPAI Ecosystem https://mpai.community/standards/mpai-gme/ (MPAI-GME): operating the MPAI Ecosystem per the MPAI-GME Specification.
9.Human and Machine Communication https://mpai.community/standards/mpai-hmc/ (MPAI-HMC): exploring the use of AI in human-to-machine and machine-to-machine communication.
10.Multimodal Conversation https://mpai.community/standards/mpai-mmc/ (MPAI-MMC): exploring the impact of the PGM-AUA Call for Technologies on human-to-machine and machine-to-machine conversation.
11.MPAI Metaverse Model https://mpai.community/standards/mpai-mmm/ (MMM-TEC): developing security-protected protocols in the MMM-TEC specification.
12.Neural Network Watermarking https://mpai.community/standards/mpai-nnw/ (NNW-TEC): Developing the new Neural Network Watermarking (MPAI-NNW) - Technologies (NNW-TEC) including assessments of Neural Network Traceability Technologies.
13.Object and Scene Description https://mpai.community/standards/mpai-osd/ (MPAI-OSD): discussing the impact of MPAI standards planned or under development on MPAI-OSD V1.4.
14.Portable Avatar Format https://mpai.community/standards/mpai-paf/v1-2/ (MPAI-PAF): discussing the impact of MPAI standards planned or under development on MPAI-PAF V1.5.
15.AI Module Profiles https://mpai.community/standards/mpai-prf/ (MPAI-PRF): extending the scope of the current version of AI Module Profiles.
16.Server-based Predictive Multiplayer Gaming https://mpai.community/standards/mpai-spg/ (MPAI-SPG): exploring new standard opportunities in the domain.
17.Data Types, Formats, and Attributes https://mpai.community/standards/mpai-tfa/ (MPAI-TFA) extending the standard to data types used by MPAI standards that are planned or under development.
18.XR Venues https://mpai.community/standards/mpai-xrv/ (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 (https://mpai.community/2022/11/02/seven-good-reasons-to-join-mpai/)..

Please visit the MPAI website (https://mpai.community), contact the MPAI secretariat (secretariat@mpai.community) for specific information, subscribe to the MPAI Newsletter and follow MPAI on social media:

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MPAI, c/o Me Olivier Brunisholz
5 Cours des Bastions
CH-1205 Geneva, Switzerland.

Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) is an international non-profit organisation with the mission is to develop Artificial Intelligence (AI) enabled digital data compression specifications, with clear Intellectual Property Rights (IPR) licensing frameworks,
1. Of Moving Picture, Audio and Data Coding, especially using new technologies such as Artificial Intelligence, and
2. That facilitate integration of Moving Picture, Audio and Data coding components into systems.

This release was published on openPR.