Artificial Intelligence: Inconceivable without standards and specifications
For artificial intelligence (AI) systems to work safely and reliably for us in the future, standards and specifications are indispensable. DIN supports scientists, policymakers, industry and society in strengthening Germany’s role in the international AI market in order to provide the best solutions and products, and to create innovation-friendly framework conditions for the technology of the future.
What is the role of standardization in AI?
It is up to standardization to structure the AI landscape actively and to create a clear framework for action together with experts and stakeholders from various sectors and disciplines. The aim is to use standards and specifications to strengthen trust in and acceptance of AI in industry and society. This concerns in particular the quality, security, traceability, transparency and reliability of AI applications. Standardization enables German SMEs in particular to gain access to the global market via open interfaces and uniform requirements and to position themselves successfully with their ideas on an equal footing with major international players.
Artificial intelligence needs European values
With the participation of all relevant stakeholders from industry, society, science, research and the public sector standards and specifications can be used to technically describe requirements for AI and AI applications, such as transparency, explainability and quality. From the technical view, we support protection against distortion, discrimination and manipulation and thus a use of AI that is in line with European values.
DIN Standardization Roadmap Artificial Intelligence
In a joint project with the Federal Ministry of Economic Affairs and Energy (BMWi), DIN and DKE developed a Standardization Roadmap for Artificial Intelligence, which was presented at the Federal Government's Digital Summit in late November 2020. The Roadmap provides a comprehensive overview of the status quo, requirements and challenges as well as standardization needs for various key topics related to artificial intelligence.