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Artificial Intelligence

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We’re working closely with the AI community to accelerate discoveries and make meaningful progress in how we use artificial intelligence to add value to our work and lives, whether it’s finding water on the moon, speeding critical medical diagnoses, or seeing product defects faster.

Artificial Intelligence

Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development.

It is essential to join forces in the European Union to stay at the forefront of this technological revolution, to ensure competitiveness and to shape the conditions for its development and use (ensuring respect of European values).

To support the efforts of the Member States which are responsible for labour and education policies, the Commission will: On 19 February 2020, the European Commission published a White Paper aiming to foster a European ecosystem of excellence and trust in AI and a Report on the safety and liability aspects of AI.

The White Paper proposes: The White Paper will undergo an open public consultation where European citizens, Member States and relevant stakeholders (including civil society, industry and academics) can provide their opinion on the White Paper and contribute to a European approach for AI.

Ensuring that European values are at the heart of creating the right environment of trust for the successful development and use of AI the Commission highlights the key requirements for trustworthy AI in the communication: Aiming to operationalise these requirements, the Guidelines present an assessment list that offers guidance on each requirement's practical implementation.

At the firs AI Alliance Assembly on 26 June 2019 the Commission officially launched the piloting phase of the assessment list involving stakeholders on the widest scale in order to reach consensus on the key requirement ensuring that the guidance can be tested and implemented in practice.

Machine learning denotes the ability of a software/computer to learn from its environment or from a very large set of representative data, enabling systems to adapt their behaviour to changing circumstances or to perform tasks for which they have not been explicitly programmed.

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