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BMDV & Acatech Initiative: Wissing aims to set the framework for AI innovation

An initiative by BMDV and Acatech aims, among other things, to develop unified AI standards.

<p>Handover of the funding notice to Acatech (from left): Jan Wörner (President of Acatech), Federal Minister Dr. Volker Wissing, and Manfred Rauhmeier (Acatech Managing Director and Board Member). (Image: BMDV)</p>
<p>Handover of the funding notice to Acatech (from left): Jan Wörner (President of Acatech), Federal Minister Dr. Volker Wissing, and Manfred Rauhmeier (Acatech Managing Director and Board Member). (Image: BMDV)</p>
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von Therese Meitinger

On May 15, a new initiative commenced its work, with which the federal government has set out to improve the framework conditions for AI innovations in Germany: the "National Initiative for AI-based Transformation into the Data Economy" (NITD). According to a press release, this is where the threads will come together in the future when it comes to better networking of data, the development of uniform testing and quality standards, and the targeted promotion of AI companies in Germany. The initiative is being set up by Acatech – German Academy of Science and Engineering and is being funded by the federal government with 32 million euros.

Dr. Volker Wissing, Federal Minister for Digital and Transport:

“I want to strengthen the development of artificial intelligence in Germany. Therefore, I am fighting at the EU level against technology bans and for clear rules that leave enough room for innovation. At the same time, we must also create better framework conditions for digital innovations in our country.”

According to the BMDV, the NITD is one of the leverage projects of the Federal Government's digital strategy and is intended to create a basis for trustworthy and marketable AI applications by the end of 2025, which put people at the center. As a neutral entity, the initiative aims to promote the shared use of data and the scaling of business models in the data economy - with implementation taking place under the operational involvement of over 100 Acatech senators. The project relies on networking the many good approaches and insights of existing initiatives in Germany and Europe, it says.

The three main focus areas of the NITD include:

  • Connecting data spaces across sectors: Future-proof business models are based on data that is shared across sector boundaries. To this end, the NITD aims to prototype the networking of data spaces from different sectors and set necessary impulses for standardization. The goal is to make data usable across sectors and borders and to bring together actors in such a way that new innovative business models and societal value creation emerge, according to the cooperation partners.
  • Ensuring AI quality, enabling trust: For AI to be accepted, the quality and transparency of its applications must be guaranteed, argue BMDV and Acatech. The NITD aims to develop and test scalable, interdisciplinary testing approaches for AI applications. The goal is uniform quality and testing standards as a framework for AI innovations "Made in Germany." To this end, the NITD plans to establish an AI Quality and Innovation Center. It will support the testing and practical implementation of AI testing approaches and make the application possibilities of AI visible and tangible for citizens and companies.
  • Specifically promoting AI innovations: In basic AI research, Germany plays a leading role according to the cooperation partners – however, successful AI-based products mostly come from large companies in the USA. The NITD aims to improve the framework conditions for the creation of successful AI companies and to develop complementary concepts for targeted top-level funding.
Translated automatically from German.
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