Differences

This shows you the differences between two versions of the page.

--- start [2021/03/23 03:11]
admin [Meetings] Made into a table, added last few quarters
+++ start [2024/04/03 13:40] (current)
admin [Meetings] Added missing 2023 and 2024Q1 meeting rows
@@ Line 7: / Line 7: @@
 ----
+[[ai:private | Go to the Private Area]]
 ===== Charter  and History of the AI PTF =====
@@ Line 26: / Line 27: @@
   * 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.
+  * The AI PTF started meeting quarterly, with occasional interim conference calls, and those meetings have been (for the most part) documented as shown below.
 ----
 ===== Co-Chairs =====
-  * Bobbin Teegarden (OntoAge)
+  * Claude Baudoin (cébé IT & Knowledge Management)
-  * Claude Baudoin (cébé IT & Knowledge Management
+  * (vacant)
+Bobbin Teegarden (OntoAge) is co-chair emerita (2019-2023) and her contributions are appreciated.
+**//The AI PTF needs a new co-chair. Expressions of interest are encouraged at the address below. A list of typical tasks of a co-chair will be provided upon request.//**
 The co-chairs are collectively reachable at the address [[[email protected]]].
@@ Line 41: / Line 47: @@
   * **[[https://thearea.org/|Augmented Reality Enterprise Alliance]] (AREA)** (Christine Perey)
-  * **[[https://torch.ai|Torch.AI]]** (Artem Beer, Jae Cha, Clayton Pummill)
+  * **[[https://torch.ai|Torch.AI]]** (Artem Beer, Jae Cha)
   * The Linux Foundation's **[[https://wiki.lfai.foundation/display/DL/Trusted+AI+Committee|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 **[[https://dodcio.defense.gov/About-DoD-CIO/Organization/JAIC/|Joint AI Center]]** (Col. Doug Drakeley).
@@ Line 50: / Line 56: @@
     * Identification of relevant tools, interfaces a.nd standards in product development and production, to ensure data provision for AI applications.
   * **[[https://www.firepoint.info/|Firepoint]],** an R&D consulting organization with a two-year contract to help the U.S. Army's [[https://en.wikipedia.org/wiki/United_States_Army_Aviation_and_Missile_Center|Aviation and Missile Center]] (AvMC) examine the landscape of AI capabilities that could be leveraged (contacts: Logan Schraeder and Timothy Johnson).
+  * **[[https://www.lmco.com|Lockheed Martin]].** Ademola Adejokun has participated in some meetings and intends to collaborate on the AI taxonomy effort.
+  * **[[https://www.nist.gov|NIST]].** As of January 2023, NIST is engaged in exploratory discussions with OMG's AI PTF because ov th overlap with an ontology effort related to the Industrial Ontology Foundry (IOF).
 ----
@@ Line 65: / Line 73: @@
 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 was proposed during the Agent PSIG meeting in June 2019 and is shown below (click on the figure to enlarge it). The left hand side of the diagram is more about knowledge representations, the right-hand side about AI capabilities or applications based on those representations.
-{{:agent2019-06-01_ai_metamodel.gif}}
+{{:agent2019-06-01_ai_metamodel.gif?direct|}}
+This model was further refined during interim conference calls, noting that it mixes concepts of information representation, "mechanisms" of AI, and applications of AI. This has led to the three-tier architecture shown below.
+{{:ai_ptf_reference_model_2022-02-21.png?direct|}}
 ----
@@ Line 86: / Line 97: @@
 | Sep 2020 | [[https://docs.google.com/document/d/1EVWRcJ-7-5iYtRqJEY8zjQIRVKoXYMX60yl431AaNKs/edit?usp=sharing|September 2020 AI PTF regular quarterly meeting]] | (Google Doc draft, to be finalized) |
 | Dec 2020 | [[https://www.omg.org/members/cgi-bin/doc?ai/21-03-01.pdf|December 2020 meeting notes]] | |
+| Mar 2021 | [[https://docs.google.com/document/d/1oGf8TPN-XGxYI8fK-tTX5RNab8yxTHxz_iradtlzm9I/edit?usp=sharing|March 2021 meeting notes]] | Draft only |
+| Jun 2021 | [[https://www.omg.org/members/cgi-bin/doc?ai/21-09-01.pdf|June 2021 meeting notes]] | |
+| 29 Sep 2021 | [[https://docs.google.com/document/d/19vqFNuLRDbC8AGfnPAIFfIZ5iAMInbumKMDn4OhhN00/edit?usp=sharing|Sep. 2021 meeting notes]] | Draft only |
+| 8 Dec 2021 | [[https://www.omg.org/members/cgi-bin/doc?ai/22-01-01.pdf|Dec 2021 meeting notes]] | |
+| 22 Mar 2022 | [[https://www.omg.org/members/cgi-bin/doc?ai/22-04-01.pdf|March 2022 meeting notes]] | |
+| 21 Jun 2022 | [[https://www.omg.org/members/cgi-bin/doc?ai/22-07-01.pdf|June 2022 meeting notes]] | |
+| 23 Aug 2022 | [[Interim AI Taxonomy meeting notes]] | |
+| 20 Sep 2022 | [[https://www.omg.org/members/cgi-bin/doc?ai/22-11-01.pdf|Sep 2022 meeting notes]] | |
+| 6 Dec 2022 | [[https://www.omg.org/members/cgi-bin/doc?ai/22-12-03.pdf|Dec 2022 meeting notes]] | |
+| 16 Jan 2023 | [[q1_2023_ai_ptf_teleconference_notes]] | |
+| 21 Mar 2023 | [[https://www.omg.org/members/cgi-bin/doc?ai/23-03-03.pdf|March 2023 Meeting Notes]] | |
+| 20 Jun 2023 | [[https://www.omg.org/members/cgi-bin/doc?ai/23-09-01.pdf |June 2023 Meeting Notes]] | |
+| 26 Sep 2023 | [[https://www.omg.org/members/cgi-bin/doc?ai/23-10-01.pdf |Sep 2023 Meeting Notes]] | |
+| 5 Dec 2023 | [[https://www.omg.org/members/cgi-bin/doc?ai/23-12-04.pdf |Dec 2023 Meeting Notes]] | |
+| 19 Mar 2024 | | to be published |
 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.
+  * Write and issue an RFP on a UML model of neural networks (suggested by Xephor Solutions)
+  * Issue an RFI to "replace" the 2019 NIST RFI
+  * Transform the AI vocavulary/taxonomy into an ontology or knowledge graph
-  * We also plan to invite:
+  * [[AI PTF Potential Speakers]]
-    * 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.
 ----
@@ Line 108: / Line 133: @@
 ===== References =====
-**Bibliography of links and papers shared by members; please send new entries to [[[email protected]]].**
-Association for Computing Machinery (ACM): [[https://drive.google.com/drive/u/0/folders/1V2-S3ugcfO6NMoWzgySjr24M-snz2PWr|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.: [[https://drive.google.com/open?id=1WClmNsL2TeY29hjOaZWrbP9wEj_2KodKFtpkCXmNVA4|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 [[[email protected]|Claude Baudoin]].//
-Baudoin, Claude (cébé IT & Knowledge Management): [[https://www.omg.org/members/cgi-bin/doc?omg/2019-12-02.pptx|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): [[https://www.omg.org/members/cgi-bin/doc?ai/20-06-05.pdf|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): [[https://www.omg.org/members/cgi-bin/doc?ai/19-06-03.pdf|Predictive Analytics in Healthcare]]. OMG document ai/19-06-03. Presented at the AI Platform SIG meeting in Amsterdam in June 2019.
-Chen, Frank: [[https://a16z.com/2016/06/10/ai-deep-learning-machines/|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: [[https://www.datarobot.com/resource/state-ai-bias19/|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): [[https://www.youtube.com/watch?v=pT3PNhPzEm4&feature=youtu.be|EKGF Launch Webinar]]. 23 June 2020, 55 minutes.
-European Commission Independent High-Level Expert Group on Artificial Intelligence: [[https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=60419|Ethics Guidelines for Trustworthy AI]]. April 2019, 41 pages. Overview and versions in other EU languages available [[https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai|here]].
-Finin, Prof. Tim: [[https://www.omg.org/members/cgi-bin/doc?ai/20-06-06.pdf|Semantic Knowledge Graphs for Cybersecurity]]. OMG document ai/20-06-06, June 2020.
-Gosejacob, Dr. Karl: [[https://www.omg.org/members/cgi-bin/doc?ai/20-06-04.pdf|Some Thoughts on Sampling with AI]]. OMG document ai/20-06-04, June 2020.
-Hailey, Victoria: [[https://www.omg.org/members/cgi-bin/doc?ai/20-06-07.pdf|AI Ethics Standards Landscape]]. OMG document ai/20-06-07, June 2020.
-Hall, Curt: [[https://experts.cutter.com/acton/ct/19169/s-0c5b-2001/Bct/q-6ce3/l-004d:79e8/ct0_0/1?sid=TV2%3Adm658EQMo|Organizations Eye Smartbots and Intelligent Assistants for CX Initiatives]]. Cutter Consortium Advisor, January 2020.
-IEEE Computer Society: [[https://ieeecs-media.computer.org/media/marketing/cedge_digital/ce-feb20-final.pdf|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.: [[https://www.omg.org/members/cgi-bin/doc?ai/20-06-01.pdf|ISO 18101 Interoperability with Digital Twins and AI]]. OMG document ai/20-06-01, June 2020.
-Johnston, Alan T.: [[https://www.omg.org/members/cgi-bin/doc?ai/20-06-02.pdf|ISO TC 184/WG 6/N 8, Ontologies Position Paper]]. OMG document ai/20-06-02, June 2020.
-Johnston, Alan T.: [[https://www.omg.org/members/cgi-bin/doc?ai/20-06-03.pdf|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): [[https://www.nist.gov/system/files/documents/2019/08/10/ai_standards_fedengagement_plan_9aug2019.pdf|U.S. Leadership in AI:A Plan for Federal Engagement in Developing Technical Standards and Related Tools]]. August 2019, 48 pages.
-OMG: [[https://www.omg.org/members/cgi-bin/doc?omg/2019-09-03.pdf|OMG AI Standards Strategy]]. OMG document omgi/19-09-03. Adopted by the OMG Board of Directors in September 2019.
-OMG: [[https://drive.google.com/open?id=1b1CIqiu88f7ECo2R-GlmAcY00tqsLz92|OMG Response to NIST RFI on AI Standards]]. June 2019.
-Perey, Christine ([[https://thearea.org/|AREA]]): [[https://www.omg.org/members/cgi-bin/doc?ai/2019-09-03.pdf|Enterprise Augmented Reality Today and Tomorrow]]. OMG document ai/19-09-03, September 2019.
-Perey, Christine ([[https://thearea.org/|AREA]]): [[https://www.omg.org/members/cgi-bin/doc?ai/2019-09-04.pdf|Augmented Reality Interoperability Requirements Workshop]]. OMG document ai/19-09-04, September 2019.
-Poole, David L. and Alan K. Mackworth: [[https://www.cs.ubc.ca/~poole/aibook/2e/html/ArtInt2e.html|Artificial Intelligence:Foundations of Computational Agents]], 2nd Edition. Free e-book.
-Shavit, Nir: [[https://neuralmagic.com/resources/on-demand-webinars/big-brain-burnout/|Big Brain Burnout: What’s Wrong with AI Computing?]]. Neural Magic webinar, September 2020.
-TopQuadrant: [[https://www.topquadrant.com/project/knowledge-graphs-vs-property-graphs/|Knowledge Graphs vs. Property Graphs - Similarities, Differences and Some Guidance on Capabilities]]. 2020, 24 pages.
-Vaidyanathan, Narayanan: [[https://www.accaglobal.com/uk/en/professional-insights/technology/Explainable_AI.html|Explainable AI: Putting the user at the core]]. Association of Chartered Certified Accountants (ACCA), February 2020. Executive summary by Charlie Hoffman [[http://xbrl.squarespace.com/journal/2020/2/17/acca-explainable-ai-putting-the-user-at-the-core.html|here]].
-Vogel, Andreas (SAP): [[https://www.omg.org/members/cgi-bin/doc?ai/19-06-05.pdf|Reference Model for AI Ethics]]. OMG document ai/19-06-05, June 2019.
+[[OMG AI Bibliography]]
-Zicari, Roberto (University of Frankfurt): [[http://www.bigdata.uni-frankfurt.de/wp-content/uploads/2019/01/Zicari.Google.Talk_.2019.pdf|Z-inspection - toward a Process to assess Ethical AI]]. September 2019.
+[[https://www.standict.eu/discussion-groups/artificial-intelligence/267/ai-landscape-report-published-standicteu-euos-twg-ai|AI Landscape Report]] by the European Union Observatory on Standards (EUOS)
-Zicari, Roberto (University of Frankfurt): [[http://www.odbms.org/blog/2020/02/on-ai-for-insurance-and-risk-management-interview-with-sastry-durvasula/|On AI for Insurance and Risk Management: An Interview with Sastry Durvasula]]. ODBMS Industry Watch, February 2020.
+[[https://standards.ieee.org/ieee/3123/10744/|Standard for Artificial Intelligence and Machine Learning (AI/ML) Terminology and Data Formats]] (IEEE-SA Project P3123)
+[[https://exchange.scale.com/public/videos/whats-next-for-ai-systems-and-language-models-with-ilya-sutskever-of-openai|What's Next for AI Systems & Language Models]] -- a discussion with Ilya Sutskever of OpenAI on ML and explainability

Artificial Intelligence PTF

User Tools

Site Tools

Differences

Page Tools