Restricting access to artificial intelligence training data could cost Germany
According to a report by the ifo Institute, narrowing access to artificial intelligence data could lead to major losses in Germany's annual added value.
Germany could face the risk of losing up to 155 billion euros in additional annual added value if access to artificial intelligence training data is made more restrictive.
Results of the ifo Institute report
According to data shared by the ifo Institute for Economic Research in Germany, there is a risk of an economic loss amounting to 155 billion euros annually if access to artificial intelligence training data is restricted.
European policy-makers and technology companies are trying to strike a balance between artificial intelligence risks and the need for innovation.
Experts' assessments on competition and data access
ifo expert Oliver Falck stated that those who want a leading artificial intelligence model in Europe cannot make data access complicated.
Ilhan Scheer, CEO of the German artificial intelligence laboratory Aleph Alpha, emphasized that access to diverse and high-quality training data is essential for competitive artificial intelligence.
Distribution of economic loss items
It was stated that generative artificial intelligence could contribute 440 billion euros annually to the German economy by 2034, but potential losses would stem from various areas.
These losses include slower artificial intelligence adoption, weaker models, lower research output, and declining artificial intelligence development activities in Europe.
Calls for policy-makers and regulatory framework
The authors of the report stated that policy-makers should preserve the text and data mining exception for commercial use and that regulatory uncertainty deters investments.
Florian Schewor, DACH regional general manager of the data processing company Celonis, noted that data should not be restricted and that industries possess vast amounts of data.