Artificial Intelligence

Check out this position paper on the needs, benefits and risks of NLP standardization: Is NLP Ready for Standardization?

Part of this work has been conducted through a StandICT Fellowship.

Teaser: Both CEN-CENELEC and ISO-IEC are currently taking new steps towards NLP standardization, with more groups and more projects about to start. More news to come in the upcoming weeks!

This DIN SPEC is currently under development with an expected publication date in September 2023.

For further information see Business plans (din.de) or feel free to reach out to me.

What would be the requirements of an AI algorithm service to be made available to the public?

Answer (anonymously) these 3 questions here https://algorithmclassification.org/

1.- What would you make you trust an algorithm applied to your data?

2.- What is your major concern about an algorithm applied to your data?

3.- What would be a possible solution to trust AI algorithms?

Thanks

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My project has the goal to provide an important basis for further work on standards that incorporate in particular ethical considerations. The focus of the project lies on one particular application of AI, namely automated vehicles (AVs). As the acceptance and use of AVs is contingent upon the trust people build in this technology, it is of utmost importance that technology is developed that is human-centred and trustworthy. At the same time this should also be reflected in the development of the standards on AVs.

ISO/IEC CD 5392 Information technology — Artificial intelligence — Reference architecture of knowledge engineering

Under development

https://www.iso.org/standard/81228.html

AI (and more specifically ML) can produce hard-to-explain/understand outputs (e.g., non-linear prediction functions), thus increasing the "black-box" perception that humans have about these systems. To address that, there is an ongoing discussion on the integration of simulators and digital twins to assist the operation of AI systems. The usage of simulators is expected to improve the trustworthiness and reliability of AI. However, there are still a lot of questions to be addressed and a lot of standardization work to be done. 

Dear colleagues,

The IEEE standard on the Fuzzy Markup Language, is under revision. 

Several extensions are under development to include other systems, e.g., type-2 , learning.

Abstract of the previous standard:

Dear colleagues,

The IEEE SA, has an ongoing work onfor XAI – eXplainable Artificial Intelligence

Abstract of the work:

"This standard defines mandatory and optional requirements and constraints that need to be satisfied for an AI method, algorithm, application or system to be recognized as explainable. Both partially explainable and fully or strongly explainable methods, algorithms and systems are defined. XML Schema are also defined."

Please consider to join the effort: https://sagroups.ieee.org/2976/

Dear all,

The standard was published at 12th May 2022.

Can be found at:

https://standards.ieee.org/ieee/1872.2/7094/

Dear Colleagues,

If it would be of interest to anyone dealing with AI, especially applied to smart energy, I am looking for a collaboration working on standards in applying AI to smart energy and particularly to smart PV systems.

MPAI has published a book entitled: “Towards Pervasive and Trustworthy Artificial Intelligence: How standards can put a great technology at the service of humankind”.

With the printing industry sparing no efforts publishing books on Artificial Intelligence (AI), why should there be another that, in its title and subtitle, combines the overused words “AI” and “trustworthy”, with the alien words “standards” and “pervasive”?

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.

The Open Ethics Transparency Protocol (OETP) describes the creation and exchange of voluntary ethics Disclosures for IT products. It is brought as a solution to increase the transparency of how IT products are built and deployed. The scope of the Protocol covers Disclosures for systems such as Software as a Service (SaaS) Applications, Software Applications, Software Components, Application Programming Interfaces (API), Automated Decision-Making (ADM) systems, and systems using Artificial Intelligence (AI).

IEEE 7007 WG created a unique standard that will contribute to the development of new technologies ethically aligned to human values. The IEEE 7007 Standard has an ontological representation which facilitates the investigation of the domain; and a formal language that adds precision to the knowledge and data collected during this investigation. The nature of the ontologies allows this ontological representation to be used in a wide variety of applications across all AIS domain.

The EU-funded, StandICT.Eu 2023  Project, ICT Standardisation Observatory and Support Facility in Europe,  has just published the first of a series of Landscape Reports on ICT standards, Landscape Of AI Standards

Edge AI is rapidly gaining momentum with growing investments and awareness of its benefits, such as reducing costs and latency times for improved user experience and increased levels of security in terms of data privacy through local processing. 

In a joint project with the Federal Ministry of Economic Affairs and Energy (BMWi), DIN and DKE developed together with experts from industry, science, the public sector and civil society a roadmap for standards and specifications in the field of artificial intelligence. The aim was the early development of a framework for action in the field of standardization which will strengthen the global competitiveness of German industry and make European values the global benchmark. With this step, DIN is implementing the AI strategy of the German Federal Government.

The EU Observatory For ICT Standards WG-AI

Great effort in the last few months by the EUOS WG on Artificial Intelligence chaired by Lindsay Frost (NEC, ETSI) has already produced a draft Technology Landscape Research Report for the European Commissions DG JRC (joint Research Centre) on standardization related to AI Risk.

The ICT Standardization landscape is an every changing, living and dynamic ecosystem of ecosystems where new technologies, tools, techniques, components, products and services are being innovated and disrupted on a constant basis. To remain current regular standardization landscape research exercises need to take place to capture the latest state-of-the-art.