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/
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.
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 2023Project, 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.
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.