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Implementation of the AI standardization roadmap: Workshop on NLP standardization needs
( 2023-06-01 ) Language technology as an interdisciplinary field of computer science, AI and computational linguistics deals with the development of applications, methods and solutions for the analysis or generation of written or spoken language. We already encounter many use cases in everyday life, such as voice-controlled household appliances or chatbots. The topic was examined in greater detail and standardization requirements formulated in the AI standardization roadmap, Issue 2. These are to be discussed and thematically located in a workshop on June 1, 2023. All interested parties are invited. If you have any questions, you can contact Annette.Preissner@din.de. More
AI & Standards in Financial Sector Online event on 04/18/2023 from 10:00 a.m. to 12:30 p.m.
( 2023-03-15 ) AI applications in the financial sector are very diverse. There are simple customer service applications, automation and controls of standard processes, and very complex modeling tasks for core processes such as credit scoring, fraud detection, and investment decisions. While there is already extensive regulation in the financial sector. However, concrete & complex modeling aspects are difficult to map in technology-neutral regulation. Standardization offers the opportunity to address concrete uncertainties here and to proactively propose solutions. Particularly against the backdrop of the AI Act, in which credit scoring systems are likely to be classified as high-risk, standardization is of special importance. This is because the technical concretization of the requirements is to be regulated in norms and standards. The first initiatives on AI and finance have already been launched on the international standardization stage. To ensure that Germany does not lose its claim to ... More
DIN Committee "AI in Medicine" Constituent meeting on April 4, 2023
( 2023-02-21 ) Whether in diagnosis, therapy, early detection or in everyday care ... - Artificial Intelligence (AI) will be indispensable in the medicine of the future. At the same time, the use of technology in this field is challenging: it is not only about health and personal data, but also about enabling people to participate in medical progress quickly and safely. Standards and specifications can help Increase the usability and usability of data for AI-based systems in medicine; verify the performance and safety of AI-based medical devices; Build trust and acceptance among users and patients; to efficiently implement the quality infrastructure of regulatory frameworks for AI in medical devices. The DIN Committee "Gesundheitstechnologien" (NA GesuTech, formerly NAMed and NARK) is now to establish a working committee on the topic of "AI in medicine". In this committee, the European and international standardization activities in the field of AI in medicine are to be coordinated and ... More
Implementation of Results (Roadmap 2nd edition) Call for cooperation
( 2023-01-31 ) Interest in the second edition of the Standardization Roadmap AI was huge. More than 900 people registered for the event on 26 January 2023 for the presentation of results and the kick-off for the implementation of the second edition of the Standardization Roadmap AI. Speakers from politics, industry, science and standardization provided insights into the results of the Roadmap, AI standardization activities that are currently underway, and the future course of action as regards implementation of the Roadmap. As the, now published, second edition of the Roadmap AI deals significantly with the draft Artificial Intelligence Act (AI Act) published by the European Commission, an explanatory film on the subject provides interesting insights into how the AI Act and standardization interact. You can find all further information about the event here. What next? The publication of the Roadmap will be followed by the implementation ... More
High-level coordination group on AI standardization and conformity established Impetus for setting the rules of the game for artificial intelligence
( 2021-05-17 ) Since autumn 2020, the Standardization Roadmap (AI) has been identifying standardization needs and recommendations for action in the realm of artificial intelligence in order to strengthen German industry in the international competition for the best solutions and products in this field. A newly founded AI coordination group will drive forward the concrete practical implementation of the recommendations in a targeted manner and bundle and coordinate the work involved. This new group, set up by the Federal Government, represented by the Federal Ministry of Economic Affairs and Energy (BMWi), the Federal Ministry of Education and Research (BMBF) and the Federal Ministry of Labour and Social Affairs (BMAS), will act as the main hub for coordination, the exchange of ideas and participation for the entire AI landscape in Germany for aspects of AI relevant to standardization. It replaces the steering group that had previously spearheaded the development of the Roadmap. Efficient ... More
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AI – Made in Germany German Standardization Roadmap AI published: Recommendations for action in standardization of artificial intelligence
( 2020-11-30 ) The German Institute for Standardization (DIN), the German Commission for Electrical, Electronic & Information Technologies (DKE) and the German Federal Ministry of Economic Affairs and Energy (BMWi) today presented the German Standardization Roadmap AI to the public at the Federal Government's Digital Summit. The 200-page roadmap provides recommendations for action in the field of artificial intelligence standardization. “With the Standardization Roadmap AI, we are implementing a key measure of the Federal Government's AI strategy. Standards and specifications ensure a seamless collaboration and trust in AI systems and pave the way for ‘AI - Made in Germany’”, says Peter Altmaier, Federal Minister for Economic Affairs and Energy. The recommendations for action for AI standardization are the result of about a year of concentrated work: Since October 2019, 300 experts from industry, science, the public sector and civil society have jointly developed the document. A high-level ... More
Artificial intelligence requires standards and specifications Successful kick-off event for AI Standardization Roadmap
( 2019-10-16 ) How can standards help ensure that artificial intelligence works safely and dependably for us in the future? The German Institute for Standardization (DIN) and VDE/DKE discussed exactly this question at the kick-off event for the Standardization Roadmap on Artificial Intelligence, along with the German Federal Ministry for Economic Affairs and Energy (BMWi) and more than 300 experts and stakeholders from industry, politics, the scientific research community and society as a whole. Key element of the German government’s AI strategy “Artificial intelligence is a key technology that holds enormous potential for German industry. Yet in order to further advance “AI made in Germany”, we need reliable standards and specifications. The standardization roadmap will make an important contribution toward this goal. This is also the aim of the Federal Government’s Artificial Intelligence Strategy," explained Dr. Ulrich Nussbaum, State Secretary at the Federal Ministry for Economic Affairs ... More
Participants in the first meeting of the steering committee on 1 August 2019 founded a steering group for the development of a Standardization Roadmap on Artificial Intelligence.
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Setting the course for the AI Roadmap
( 2019-08-02 ) German Federal Ministry of Economics and Energy (BMWi), German Institute for Standardization (DIN) and leading figures from industry, politics, science and representatives of civil society found steering group On August 1, leading figures from industry, politics, science and representatives of civil society, together with the German Federal Ministry of Economics and Energy (BMWi) and the German Institute for Standardization (DIN), founded a steering group for the Standardization Roadmap on Artificial Intelligence (AI), thus paving the way for the expansion of Germany as an AI hub. Prof. Wolfgang Wahlster, Chief Executive Advisor of the German Research Center for Artificial Intelligence (DFKI), will be the head of the steering group. There is a need for action when it comes to transferring research results into applications, building trust and being able to articulate AI applications clearly. Standards and specifications play a central role when addressing these issues and will ... More
DIN to develop AI standardization roadmap
( 2019-05-14 ) DIN is currently beginning the process of drafting an Artificial Intelligence roadmap. The aim is to act quickly to create a framework for action for standardization that will strengthen the global competitiveness of German industry and make European values the global benchmark. The standardization roadmap will provide an overview of existing standards and specifications dealing with aspects of AI, and also make recommendations in areas where it sees a need for action. It is being developed by stakeholders from business, science, government and civil society. DIN is orchestrating this dialogue as a neutral platform. The roadmap will play an important role in asserting Germany’s position at the European and international level. It is a step that will implement the AI strategy of the Federal Republic, for field of action no. 10, as outlined in the strategy document, expressly deals with “Setting standards”. The roadmap is being developed in an open and transparent process. More
Ensuring AI quality
( 2019-03-29 ) Newly published: DIN SPEC 92001-1 on the quality of AI modules Just in time for the Hanover Fair, DIN presented the new DIN SPEC 92001-1, Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Metamodel. This DIN SPEC aims to ensure the quality of AI throughout its entire life cycle using a uniform concept. To this end, it defines a quality metamodel that comprises and combines all key aspects of AI quality. Special focus is placed on the individual phases in the life cycle of AI modules; these can have certain quality requirements assigned to them. Particularly in the conception and development stages, for example, it is important to prevent bias when information is processed. In addition, the metamodel identifies the three quality pillars that are the goals central to quality assurance: functionality and performance, robustness and comprehensibility. It also establishes the components of an AI module that are relevant to its quality, such as ... More
