Absolutely, provided some conditions fulfilled.
To secure its global AI leadership, the EU is to set up a Pan-European AI Strategy, supported by national AI strategies of all Member States and associate members, as Ukraine.
The EU is to innovate a “Global Data Governance Standard” to standartize “the world”, "data", "intelligence", "AI", "cyber-physical systems", "General AI", ‘robotics’, ‘analytics’, “automation”, ‘machine learning’, ‘AI technologies, models, algorithms, capacities, techniques, applications’, etc.
The EU is to research, develop and deploy Global Data AI Platform, which is to coordinate national and corporate ML/AI cloud platforms, intelligently processing massive amounts of data to train AI and machine learning models, “through daily creation of billions of images, online click streams, voice and video, mobile locations, and sensors embedded in the Internet of Things”.
As the current seven-year-budget expires at the end of 2020, the EU’s overall investment in AI, including money from national and regional governments and the private sector, should be brought up to at least €50 billion per year.
European companies including ABB, Bosch, BMW, and Siemens are investing in AI, lagging from digital companies such as Amazon, Baidu, and Google. And overall Europe is behind in external AI investment, which totaled $3 to $4 billion in 2016, compared with $8 to $12 billion in Asia and $15 to $23 billion in North America. How artificial intelligence can deliver real value to companies
The United States and China both have AI “ecosystems”—clusters of AI entrepreneurs, public institutions, financiers, and AI users, and China has issued national strategic plans backed up by funding initiatives.
The new EC should be just and fair, more competent and democratic and less bureaucratic, creating the Pan-European AI “ecosystems” at local, regional, national and transnational levels.
This will boost European AI applications and help the Continent to win over the U.S. and China in building a state-of-the-art AI industry.
10 imperatives for Europe in the age of AI and automation; https://www.mckinsey.com/featured-insights/europe/ten-imperatives-for-e…
The EU has all potentials to lead a global AI race. Europe’s secret weapon in the race against the U.S. and China and Russia is an ethical trustworthy general artificial intelligence.
The EU was the first to set a global data protection standard defining "personal data", "processing", "data subject", "controller" and "processor", and general provisions, principles, rights of the data subject, duties of data controllers or processors, transfers of personal data to third countries, supervisory authorities, cooperation among member states, remedies, liability or penalties for breach of rights, etc.
REGULATION (EU) 2016/679 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)
EUR-Lex - 32016R0679 - EN - EUR-Lex
On 8 April 2019, the High-Level Expert Group on AI presented Ethics Guidelines for Trustworthy Artificial Intelligence.
According to the Guidelines, trustworthy AI should be:
(1) lawful - respecting all applicable laws and regulations
(2) ethical - respecting ethical principles and values
(3) robust - both from a technical perspective while taking into account its social environment
Ethics guidelines for trustworthy AI - Digital Single Market - European Commission
EU AI
The AI HLEG has proposed the most comprehensive Definition of Artificial Intelligence to implement.
“Artificial intelligence (AI) refers to systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals.
AI-based systems can be purely software-based, acting in the virtual world (e.g. voice assistants, image analysis software, search engines, speech and face recognition systems) or AI can be embedded in hardware devices (e.g. advanced robots, autonomous cars, drones or Internet of Things applications).”
“Artificial intelligence (AI) systems are software (and possibly also hardware) systems designed by humans that, given a complex goal, act in the physical or digital dimension by perceiving their environment through data acquisition, interpreting the collected structured or unstructured data, reasoning on the knowledge, or processing the information, derived from this data and deciding the best action(s) to take to achieve the given goal.
AI systems can either use symbolic rules or learn a numeric model, and they can also adapt their behaviour by analysing how the environment is affected by their previous actions.
As a scientific discipline, AI includes several approaches and techniques, such as machine learning (of which deep learning and reinforcement learning are specific examples), machine reasoning (which includes planning, scheduling, knowledge representation and reasoning, search, and optimization), and robotics (which includes control, perception, sensors and actuators, as well as the integration of all other techniques into cyber-physical systems).”
INDEPENDENT HIGH-LEVEL EXPERT GROUP ON ARTIFICIAL INTELLIGENCE SET UP BY THE EUROPEAN COMMISSION
A definition of AI: Main capabilities and scientific disciplines
High-Level Expert Group on Artificial Intelligence
Resources
Real AI Manifesto: Artificial Global Intelligence (AGI)
"Whoever Creates Real Artificial Intelligence Will Rule the World"
https://www.linkedin.com/pulse/g...
Universal computing ontology as applied to human minds and general AI:
https://www.igi-global.com/book/...
Kiryl Persianov's answer to What are the major types of artificial intelligence?
Kiryl Persianov's answer to How does Google aim to dominate artificial intelligence?
Kiryl Persianov's answer to What are some popular misconceptions to the general public about AI?
https://www.quora.com/Will-the-next-significant-innovations-in-robotics…