BDVA Artificial Intelligence Position Paper

On November 12th 2018 and in the context of the European Big Data Value Forum 2018 the Big Data Value Association released and adopted a position paper on Artificial Intelligence (AI Position Paper) called Data-driven Artificial Intelligence for European Economic Competetiveness and Societal Progress. The paper describes AI opportunities (with some examples directly provided by the Lighthouse projects of the Big Data Value PPP), AI challenges and outlines recommendations for the way forward.

The main challenges identified include Business Models, Trust in AI, Ecosystem considering a value-network perspective (including data sharing, data interoperability, Data for AI platforms, and Open AI platforms), and Technology (advanced data analytics, Hybrid AI, Distributed AI, Hardware optimised to AI, Multi-lingual AI.

The BDVA recommendations are grouped in 3 areas: Partnership, Ecosystem and Ecosystem Enablers, combined to deliver value to businesses and society.

  1. Set-up a European Public-Private-Partnership on AI (Partnership): Leverage existing industrial and research communities and build upon results of the Big Data Value PPP and the SPARC PPP to establish a European Public-Private Partnership on AI (a PPP on AI) in collaboration with the European Commission and the Member States. Sturdy and stable long-term collaboration structures need to be put in place to develop the European AI Ecosystem that will accelerate value creation by AI in European Businesses, Governments and Society.
  2. Develop the European AI Ecosystem (Ecosystem): Actively engaging all relevant stakeholders for a holistic AI strategy,  scaling Industrial Cooperation Models in the Data Economy, helping small and medium (SMEs) businesses to understand and use the potential of AI, and, promoting AI using positive stories/use cases.
  3. Boost the European AI Ecosystem (Ecosystem enablers): Challenges of access to Data (Data4AI), Investment on Research, Development and Innovation for AI, Next-Generation Data and Artificial Intelligence Platforms (technology), Skills, and Flexible Legal, Regulatory and Governance Frameworks.

Find the full paper here.