Publications Archive

This policy brief examines Europe’s strategic positioning in generative AI research, in comparison to the United States and China. Using a range of data sources and reviewing the literature on language models, it analyses model development, academic and industrial output, and policy frameworks.

Europe could regain lost competitiveness through Artificial Intelligence (AI). However, pragmatic regulation and clear guidelines for companies are essential. The Centre for European Policy (cep) has analysed the first draft of the so-called General-Purpose AI Code of Practice. According to the study, the guidelines must be further refined in order to promote innovation and minimise systemic risks of AI systems.

Increasingly powerful artificial intelligence (AI) systems are presenting politicians and developers with ever greater challenges. How can we ensure that these powerful engines of digitalisation are used safely? The Centre for European Policy (cep) is calling for ethical boundaries and rules to be integrated into the construction of AI systems.

Post, like, scroll: The use of social media such as Facebook, Instagram or X (Twitter) averages two and a half hours per day and user worldwide. The Centre for European Politics (cep) has investigated the consequences. The result: although social media platforms can be addictive, only in a small number of cases does the use of social media have a negative impact on users' mental health.

Whether it is the digital euro or artificial intelligence (AI): The relentless digitalisation of everyday life in Europe often comes at the expense of climate protection. The Centre for European Policy (cep) has compiled evidence in two case studies on generative AI models and a potential digital euro.

Whether for artificial intelligence, virtual worlds or the transport of the future. State-of-the-art network infrastructures are essential for this. The Commission has bundled several ideas for improved connectivity in a White Paper. The Centre for European Policy (cep) sees good approaches in the White Paper - but also recognises planned economy traits.

Progress in AI’s capabilities has highlighted a significant concern: the uneven allocation of AI’s benefits among and within societies and economies, worsening both domestic and global inequalities. In addition to limiting market competition and innovation, this concentration of power also translates into social challenges: global inequalities, risks of bias and disinformation, replacement of jobs, and lack of democratic control.

Inadequate resources, dominant tech companies and a lack of legitimacy: rapid progress in the field of Artificial Intelligence (AI) requires a drastic rethink in Brussels. This is the conclusion of a study by the Centre for European Policy (cep) in the run-up to the European elections. An institutional reorganisation of the Commission is needed.

Language models such as ChatGPT are both a risk and an opportunity for Europe. The Centre for European Policy (cep) outlines a ten-point guide for small and medium-sized enterprises (SMEs). Key question: How can Artificial Intelligence (AI) create competitive advantage efficiently? Key demand: Companies should be pragmatic – and less hesitant

The European Commission is reviewing merger control proceedings against Microsoft. This is due to the US tech giant's close partnership with OpenAI, the world's leading generative artificial intelligence (AI) company. The Centre for European Policy (cep) warns that the US tech companies already dominates the AI value chain and calls for strict competition law controls.