Germany is grappling with the stricter regulation proposed in the European Union’s Artificial Intelligence Act (AI Act), causing concerns among various political groups and digital experts. The Council of the European Union and the European Parliament have been engaged in extensive negotiations over the AI Act, but differences in specific issues, such as biometric surveillance, have posed challenges for both bodies.
Die Linke, a left-wing party in Germany, is advocating for stricter regulation and transparency in European AI legislation. They are emphasizing the need for consumer protection and proposing that high-risk AI systems undergo thorough checks by a supervisory authority before being introduced to the market. Die Linke also urges for specific measures, such as an explicit ban on biometric identification systems in public spaces and AI-driven election interference.
On the other hand, the center-right coalition known as the Union is prioritizing innovation and openness in AI. They believe that excessive regulation should be avoided and emphasize the importance of aligning with existing data protection and digital market regulations.
The German AI Association (KI Bundesverband), representing innovative SMEs and startups, also supports openness to innovation but disagrees with the EU’s approach. The association suggests focusing on mitigating actual threats and risks associated with AI applications while safeguarding fundamental rights and European values.
Germany’s government, while supportive of the AI Act, aims to strike a balance between regulation and openness to innovation. They are implementing measures to promote German AI companies and continue advocating for an ambitious approach to AI testbeds during the negotiations on the AI Act.
Despite these efforts, concerns are rising that Europe may lag behind in AI compared to U.S. and Chinese tech companies. A feasibility study commissioned by the German Ministry for Economic Affairs and Climate Action is exploring the potential of large AI models for Germany, including the establishment of an AI supercomputing infrastructure to foster development. Experts argue that Europe’s reliance on non-European software and services poses a threat to its AI sovereignty. They propose the creation of a globally recognized CERN for AI to facilitate cutting-edge research and attract talent, ultimately contributing to the success of AI made in Europe.
In conclusion, the negotiations on the AI Act remain complex due to differing perspectives. While Die Linke calls for stricter regulation, the Union prioritizes innovation. Germany’s government seeks to strike a balance between regulation and innovation, and the German AI Association calls for practical solutions to address AI risks. To avoid falling behind, Europe must focus on fostering its AI landscape and investing in foundational technologies. A shift in AI strategy and targeted public investments are crucial for the success of AI made in Europe.
