EU AI Whitepaper in line with the vision of the new partnership on AI, Data and Robotics
BDVA has published its response to the White paper on Artificial Intelligence: "a European approach to Excellence and Trust". BDVA welcomes this whitepaper as there is a clear need for a solid AI European approach based on European values. The aspiration contained within this document for Europe to “become a global leader in innovation in the data economy and its applications” is strongly supported by BDVA. A comprehensive and functioning Data Strategy is a prerequisite to any AI Policy and regulation. The general broad policy perspective of this whitepaper is also very well-received.
The AI Whitepaper is very much in line with the vision of the new partnership on AI, Data and Robotics which BDVA is strongly driving. The Vision of the Partnership is “to boost European competitiveness, societal wellbeing and environmental aspects to lead the world in researching, developing and deploying value-driven trustworthy AI, Data and Robotics based on fundamental European rights, principles and values”. Excellence and Trust are part of the European AI framework and covered by the five impact areas of the future partnership.
Find BDVA's response to the White paper on AI here.
It is important to emphasise that Europe already has a relevant innovation ecosystem (in terms of research, startups, infrastructures) and a credible opportunity to become a global leader. Relevant and focused investments are necessary, as well as building on the excellence and best practices already in place (and under development), and developing tools and solutions able to maximise AI applicability while being fully compliant with regulatory, policy, and ethical frameworks. In addition, it is necessary to create an EU-wide innovation environment, avoiding replications and fragmentation between Member States and related communities. European businesses see Industrial AI as more of an opportunity than a threat.
Europe has a unique ecosystem of diverse languages and cultures, which should be leveraged to showcase leadership in interoperability, inclusivity, diversity in providing technology solutions in complex environments. Standards and standardisation can be employed as a mechanism to leverage international best practice to build trust and confidence in AI products, services, tools, and processes.
A coordinated and comprehensive effort is required to achieve a World Leading Centre in AI. The EC is investing actively in this area through different programmes such as the AI on-demand platform, the AI Network of Centres of Excellence, the AI DIHs, the AI Testing and Experimentation Facilities (TEFs), and the AI, Data and Robotics partnership as the central coordination instrument. It is essential to establish the alignment and synergies among all these instruments on the one hand and with Horizon Europe and Digital Europe programmes on the other, leveraging both the technical and non-technical disciplines expertise within the community.
People will need to be trained with proper skills to meet the needs of the AI Economy. AI influences the skills needed by all sectors in industry and society in general. Traditional industry sectors will experience an AI transformation, and their workforces will have to adapt. Additionally “It is of importance to increase the capacity of AI education and vocational training to support a strong skills pipeline of all educational levels to increase supply of talents”3.
An effective European AI Innovation Ecosystem facilitates the cross-fertilisation and exchange between stakeholders that leads to new AI-powered value chains that can improve business and society and deliver benefits to citizens. A productive European AI Innovation Ecosystem is an essential component to overcome the key adoption challenges. The new public-private partnershipwill be central in stimulating such an AI innovation ecosystem.
Full Document: BDVA's reponse to the European AI whitepaper - May 2020
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