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The European Commission Publishes a Technology Area Report on Artificial Intelligence

The European Commission ("Commission") has published the study titled Study on the EU's Critical Digital Capacities Deployment Beyond 2027 – Annex 4: Technology Area Report on Artificial Intelligence ("Report"), prepared for the Commission by Technopolis Group.

The Report examines the European Union's ("EU") position in the global artificial intelligence ("AI") ecosystem and identifies the technological priorities, deployment challenges and investment needs for AI deployment beyond 2027.

According to the Report:

  • Foundation models, AI agents and multi-agent systems, explainable and trustworthy AI, natural language processing and understanding, novel AI-human interaction technologies, high-performance computing for AI, Edge AI and Artificial Intelligence of Things ("AIoT") have been identified among the high-priority technology areas for deployment by 2028.
  • Open-source AI, multimodal AI, narrow (domain-specific) AI, causal AI, embodied AI, neurosymbolic AI, frugal (energy-efficient) AI, fairness-, privacy- and copyright-aware machine-learning techniques, decentralised multi-agent systems and neuromorphic computing have also been identified as strategically important technology areas with opportunities for the EU.
  • The EU benefits from strong research capabilities, open-source innovation, regulatory leadership and specialised industrial AI applications. However, it continues to lag behind the United States and China in the development and commercialisation of large-scale AI models, private investment, AI computing capacity and large-scale deployment.
  • The deployment of AI across the EU is hindered by limited availability of AI-optimised hardware, cloud and data-centre infrastructure, fragmented talent, capital and computing resources, insufficient technology transfer and difficulties in transforming research and early-stage innovation into market-ready solutions.
  • Key deployment challenges include model inaccuracies, limited transparency and explainability, data privacy and information-security risks, high computational and energy requirements, dependence on specialised AI hardware, latency issues, implementation costs and difficulties in achieving reliable returns on investment.
  • The Report emphasises the need for further investment in sovereign AI infrastructure, including AI chips, cloud services, high-performance computing, data centres and AI Factories. It also highlights the importance of improving access to such infrastructure for small and medium-sized enterprises ("SMEs"), public institutions and less-developed regions.
  • The development and deployment of both proprietary and open-source foundation models, trustworthy, explainable and energy-efficient AI systems, sector-specific AI applications, common European data spaces and multilingual AI technologies should be further supported.
  • The Report also recommends strengthening cooperation between European industry, AI start-ups, research organisations and public authorities, while expanding practical training programmes to address AI skills, technology deployment and commercialisation gaps.

The Report expressly states that it reflects the views of its authors and should not be regarded as representing the official position of the European Commission.

You can access the full text of the Report here.

Kind regards,

Zumbul Attorneys-at-Law

info@zumbul.av.tr

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