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Welcome to the AI Platform Task Force Wiki

This wiki complements the AI PTF marketing page on the main OMG website. It is intended as a place to keep the community (OMG members and non-members alike) informed of the activities derived from OMG's 2019 initiative on Artificial Intelligence, and consolidated into a new Platform Task Force chartered in September of that year. It is focused on how we operate as a Task Force.

The vision behind the AI PTF is to create and “animate” an OMG-based AI center, coordinating and complementing AI-related efforts in other groups (such as Ontology, Retail, Healthcare. and more) and especially considering aspects that can benefit from standardization – making OMG the place to come for AI technology standardization.

Charter and History of the AI PTF

Charter (adopted on 27 Sep 2019, revised on 13 Dec 2019)
OMG’s Artificial Intelligence Platform Task Force (AIPTF) will promote the adoption of specifications that standardize foundational capabilities of artificial intelligence.

Among the goals of the AIPTF is freeing AI technology suppliers as well as end users from interoperability and interchange limitations with respect to models, languages and data, and to enable them to focus instead on development of advanced AI applications.

In the context of this charter, Artificial Intelligence is defined broadly and includes, but is not limited to:
* Modeling of AI artifacts
* Machine learning, deep learning and neural networks
* Image understanding, speech recognition, and computer vision
* Robotic systems
* Virtual and augmented reality
* Autonomous and autonomic systems and agents
* Knowledge representations
* Natural language processing (NLP)
* Security, privacy, social and other ethical aspects of AI

The purpose of the AIPTF includes development of foundational specifications that support AI in the above broad sense.

The AIPTF may, when appropriate, generate discussion papers, RFIs or RFPs or recommend technologies for adoption. It will also collaborate with other OMG subgroups to identify and document use cases and interoperability requirements for AI, and identify the need for AI-related additions or revisions to those groups’ existing and emerging specifications. It will seek to identify external stakeholders, including other standards development organizations, and partner with them as needed.


The history of OMG's efforts related to AI can be summarized as follows:

  • The Agent Platform SIG was created in (date).
  • OMG's Board of Directors requested the development of an OMG AI standards strategy in March 2019.
  • The development of that strategy was interrupted in May 2019 by NIST's issuance of a Request for Information on AI standards; the focus shifted to responding to the RFI, which was achieved in early June.
  • At the June 2019 meeting, the Agent PSIG was expanded and transformed into an AI PSIG.
  • The development of the AI strategy resumed and completed during the summer, leading to a paper adopted by the Board at the end of September 2019.
  • Consistent with the strategy paper recommendations, the AI PTF held a formation meeting in September 2019 and was formally chartered.
  • Considering that there were specific technologies in the agent domain that some members would like to work on without addressing the broader scope of AI, the Platform Technical Committee voted at the same meeting to re-charter the Agent PSIG.
  • The charter was updated in December 2019 to clarify two of the scoping bullets, and to correct the omission of robotic systems.


  • Bobbin Teegarden (OntoAge)
  • Claude Baudoin (cébé IT & Knowledge Management

The co-chairs are collectively reachable at the address

Interested Organizations

The purpose of this section is to keep track of organizations that have contacted us, or participated in meetings. This is obviously a list under construction. If needed, we'll make it into a separate page later. We're not showing people's e-mail addresses to avoid getting them spammed. If you wish to contact someone on this list, email the co-chairs.

  • Augmented Reality Enterprise Alliance (AREA) (Christine Perey)
  • Torch.AI (Artem Beer, Jae Cha, Clayton Pummill)
  • The Linux Foundation's Trusted AI Committee. It covers AI fairness, explainability, and robustness to adversarial attacks. IBM plays an active role in it, and IBM Research created three open source Python libraries for those topics (information received from Svetlana Levitan on 20 Jan 2020).
  • The U.S. Department of (Defense Joint AI Center (Col. Doug Drakeley).
  • prostep ivip (Rachel Bauer), which reports having the following focus areas related to AI:
    • Standardization of ETL-processes – the Data Preparation for Data Analytics (DPDA) project
    • Participation in the AI Marketplace consortium, aimed at creating a marketplace for industrial users and AI-Vendors
    • Identification of most important use cases
    • Identification of relevant tools, interfaces a.nd standards in product development and production, to ensure data provision for AI applications.
  • Firepoint, an R&D consulting organization with a two-year contract to help the U.S. Army's Aviation and Missile Center (AvMC) examine the landscape of AI capabilities that could be leveraged (contacts: Logan Schraeder and Timothy Johnson).

Mailing list

OMG maintains a mailing list, To be added (or removed, or to change your address) please click here.

We welcome great ideas, emerging AI technology, and new AI standards, bring your digital twin and join us!

Scope of AI Technologies

An “AI metamodel” (this term has been critiqued, since it seems to be more of a taxonomy than a metamodel) of the range of technologies that are “in scope” for the AI PTF has been proposed and is shown below (click on the figure to enlarge it).


Links below appear in three different colors automatically generated by Dokuwiki. They are:

  • green for links to other pages of this wiki
  • blue for links to other websites, including the OMG document repository (which may require you to log in with your OMG credentials)
  • red for pages that are planned but do not exist yet.

AI Platform Task Force Sep. 2019 Meeting Summary

Notes from AI Meet-and-Greet and AI PTF Meeting, December 2019, Long Beach

March 2020 AI PTF virtual meeting notes (to be published)

AI PTF Interim Virtual Meeting on 4 May 2020

June 2020 AI PTF regular quarterly meeting notes

July 29, 2020 AI PTF interim virtual meeting

August 25, 2020 AI PTF interim virtual meeting

September 17, 2020 AI PTF regular quarterly meeting (See agenda). AI PTF members are also encouraged to attend the special event Understanding Ontologies and Knowledge Graphs scheduled for on September 15, 2020 (separate registration required).

Future meeting agenda ideas:

  • A full-day “forum” including representatives from NIST, and other organizations that responded to the NIST RFI on AI Standards. A “call for papers” was issued in mid-January 2020 to solicit additional presentations.
  • We also plan to invite:
    • Dr. Holger Kenn of Microsoft
    • An outside participant to talk about neural network explainability
    • People from Firepoint to present on their work for the U.S. Army
    • … and we welcome suggestions, either about yourself or someone you recommend, so we can maintain a steady stream of talks of interest to our community, in parallel with advancing our work.

Non-OMG Events

Unite.AI maintains a list of conferences and exhibits of potential interest to members. The scope of their calendar entries extends to robotics and data science

Note that any indications of a physical location in the coming months is highly subject to change until the COVID-19 pandemic is under control. Moreover, when an on-site conference is changed to a virtual one, the dates may also change.

Those who attend any external AI-related event are strongly encouraged to share their notes through our mailing list of for posting on this wiki.


Bibliography of links and papers shared by members; please send new entries to

Association for Computing Machinery (ACM): AI-powered Chatbots: recording and slides from a January 23, 2020 meetup in San Francisco.
The MP4 file at the top is the audiovisual recording of most of the event (86 minutes – and some questions at the end are cut off). The other files are the slides presented during the event.

Baudoin, Claude (cébé IT & Knowledge Management), Pete Rivett (Adaptive), Bobbin Teegarden (OntoAge) et al.: Analysis of Responses to NIST's AI Standards RFI.
Work in progress. Contains references, with hyperlinks, to the 98 responses received by NIST. We are seeking volunteers to provide short summaries of the responses, and an estimate of their usefulness to OMG's AI work. To obtain the right to edit this document, contact Claude Baudoin.

Baudoin, Claude (cébé IT & Knowledge Management): AI Meet & Greet Presentation. OMG document ai/19-12-02. Presented at OMG meeting in Long Beach, Calif., on December 9, 2019.

BDI (Bundesverband der Deutschen industrie): BDI Statement on EU White Paper on AI. English version via Dr. Karl Gosejacob. OMG document ai/20-06-03, June 2020.

Beechinor, Allan F. (Altada Group): Predictive Analytics in Healthcare. OMG document ai/19-06-03. Presented at the AI Platform SIG meeting in Amsterdam in June 2019.

Chen, Frank: AI, Deep Learning, and Machine Learning: A Primer. June 2016.
From types of machine intelligence to a tour of algorithms, Frank Chen, head of the Deal and Research team at Andreessen Horowitz (aka “a16z”) walks us through the basics (and beyond) of AI and deep learning in this narrated slide presentation. Watch time: 45 minutes.

Data Science Central: The State of AI Bias in 2019.
DataRobot surveyed more than 350 US- and UK-based CIOs, CTOs, VPs, and IT managers involved in AI and machine learning purchasing decisions to learn how AI is being used by businesses today, current perceptions of AI bias, and what is being done -– or should be done -– to enhance AI bias prevention efforts in the future.

Enterprise Knowledge Graph Foundation (EKGF): EKGF Launch Webinar. 23 June 2020, 55 minutes.

European Commission Independent High-Level Expert Group on Artificial Intelligence: Ethics Guidelines for Trustworthy AI. April 2019, 41 pages. Overview and versions in other EU languages available here.

Finin, Prof. Tim: Semantic Knowledge Graphs for Cybersecurity. OMG document ai/20-06-06, June 2020.

Gosejacob, Dr. Karl: Some Thoughts on Sampling with AI. OMG document ai/20-06-04, June 2020.

Hailey, Victoria: AI Ethics Standards Landscape. OMG document ai/20-06-07, June 2020.

Hall, Curt: Organizations Eye Smartbots and Intelligent Assistants for CX Initiatives. Cutter Consortium Advisor, January 2020.

IEEE Computer Society: Computing Edge, February 2020. Contains the following AI-related articles:

  • From Artificial Intelligence to Artificial Wisdom: What Socrates Teaches Us by Tae Wan Kim (Carnegie Mellon University) and Santiago Mejia (Fordham University), pp. 8–12
  • Think Your Artificial Intelligence Software Is Fair? Think Again by Rachel K.E. Bellamy et al. (IBM Research), pp. 14–18
  • Artificial Intelligence for Law Enforcement: Challenges and Opportunities by Stephan Raaijmakers (TNO), pages 20–23
  • Robot Science Writers by Charles Day (Physics Today), page 24

Johnston, Alan T.: ISO 18101 Interoperability with Digital Twins and AI. OMG document ai/20-06-01, June 2020.

Johnston, Alan T.: ISO TC 184/WG 6/N 8, Ontologies Position Paper. OMG document ai/20-06-02, June 2020.

Johnston, Alan T.: ISO TC 184 Ad Hoc Group on Data Architecture of the Digital Twin. OMG document ai/20-06-03, June 2020.

National Institute of Standards and Technology (NIST): U.S. Leadership in AI:A Plan for Federal Engagement in Developing Technical Standards and Related Tools. August 2019, 48 pages.

OMG: OMG AI Standards Strategy. OMG document omgi/19-09-03. Adopted by the OMG Board of Directors in September 2019.

OMG: OMG Response to NIST RFI on AI Standards. June 2019.

Perey, Christine (AREA): Enterprise Augmented Reality Today and Tomorrow. OMG document ai/19-09-03, September 2019.

Perey, Christine (AREA): Augmented Reality Interoperability Requirements Workshop. OMG document ai/19-09-04, September 2019.

Poole, David L. and Alan K. Mackworth: Artificial Intelligence:Foundations of Computational Agents, 2nd Edition. Free e-book.

Shavit, Nir: Big Brain Burnout: What’s Wrong with AI Computing?. Neural Magic webinar, September 2020.

TopQuadrant: Knowledge Graphs vs. Property Graphs - Similarities, Differences and Some Guidance on Capabilities. 2020, 24 pages.

Vaidyanathan, Narayanan: Explainable AI: Putting the user at the core. Association of Chartered Certified Accountants (ACCA), February 2020. Executive summary by Charlie Hoffman here.

Vogel, Andreas (SAP): Reference Model for AI Ethics. OMG document ai/19-06-05, June 2019.

Zicari, Roberto (University of Frankfurt): Z-inspection - toward a Process to assess Ethical AI. September 2019.

Zicari, Roberto (University of Frankfurt): On AI for Insurance and Risk Management: An Interview with Sastry Durvasula. ODBMS Industry Watch, February 2020.

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