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The Success of the European Union Video

Europe: From WWII To Today's European Union

The Success of the European Union - opinion you

Member Login Contact The laws on privacy and data regulation have a huge impact on American corporations and their operations. Aside from the privacy issue, the European Union EU has become a beacon of hope for small European countries wanting some international prestige and economic help. The EU used to help and facilitate the economic growth of its member states through lower customs and other tax cuts. Issues like trade are insignificant in comparison to the growing power and influence the EU has on world politics. Now, China is threatening to become the new world power through its aggressive industrial and economic expansion. Once the EU has reached a predetermined point of strength and power, they will declare themselves as the Empire of Europe, and a President of Europe will be elected. Thus, Europe will keep the Chinese as the subservient country that they have been for many years. The EU is the test pilot for the impressionable union that can grow and become something bigger and more dangerous. The Success of the European Union.

Artificial Intelligence AI Euorpean in the last The Success of the European Union years become one of the most topical subjects among policymakers all over the world. It is developing fast and despite some concerns as to its potential negative implicationsit seems that it is here to stay. In this context, states face numerous novel challenges. On the other hand, AI showcases the growing influence of multinational corporations and their growing involvement in world affairs. States have acknowledged the The Success of the European Union to step up their efforts in adopting adequate strategic documents corresponding to the dynamic development of AI technologies and their potential large-scale impacts in the near future.

In this context, the European Union EU is pressured to act and focus its efforts and resources in staying competitive with the global superpowers. The strategy proposes 3 main objectives:. This article focuses on the third main objective, mainly ensuring an appropriate legal framework. The reason for this is its strong connection to the other two objectives and the perceived constraints the EU faces pf to its more stringent privacy legislation.

In doing so, it will be explained why the Europeab needs to regulate, the challenges it faces, highlighting the specificities of the GDPR, and the possible solutions. The European Commission has already stated Sentencing Case Of Atkins position regarding the need to regulate AI in its White Paper on Artificial Intelligencewhich was published on 19 th February Indeed, machine learning algorithms rely on training sets containing vast amounts of data. Trust in the technology and its controller is required in order to unleash the full potential of the data-driven economy.

How Far is the European Union Reach?

Thus, enshrining sufficient safeguards into legislation could be seen as an enabler to the implementation of machine learning and AI technologies. An illustration of the use of AI without proper legal safeguards is the case of the Chinese social score. Such examples apply not only to The Success of the European Union outside of Europe, as many privacy concerns were also raised in France with regard to the proposed introduction of facial recognition ID for all citizens.

Nevertheless, the pros of regulating AI extend beyond the immediate benefits for citizens in terms of safeguarding their fundamental rights. Regulation would ensure a level playing field and pose legal obligations on foreign-based companies conducting business activities on the territory of the Union.

In the very recent GDPR first evaluation reportit is stipulated that the adoption of the regulation has spurred other countries in many regions of the world to consider following The Success of the European Union, setting a global trend running from Chile to South Korea, from Brazil to Japan, from Kenya to India, and from California to Indonesia. Therefore, we might expect that if the EU manages to become the first actor to create an appropriate regulatory framework on AI, this may trigger a similar effect to that of the GDPR. Failing to regulate would enable private corporations to set the technological standards. This would result in legislators reacting to ongoing technological developments, rather than attempting to control the processes.

Indeed, regulating rapidly advancing technologies such as AI is a challenging task. It is hence important for the upcoming EU legal framework to be technologically Succeds, which would allow it to accommodate such changes. Even large corporations themselves, such as Microsoft and Googleinsist on regulating AI. Regulation undoubtedly would benefit private actors in terms of ensuring legal certainty and avoiding large fines as a result of privacy breaches. A safe environment for developing AI would also provide an impetus for European startups. This could potentially decrease reliance on non-EU digital solutions and contribute to the achievement of European digital sovereignty.

Despite all the benefits of regulating AI thee above, there are still numerous challenges the EU faces in doing so.

Artificial intelligence is a cross-cutting technology that has implications on consumer law, competition law, labour law and antidiscrimination law. The GDPR has been a legislative success in terms of providing citizens with control over their personal data and obliging data controllers to keep track of what personal data they need, how long they need to store it for and for what purposes. AI seems to pose difficulties in relation to some of these notions.

More precisely, hTe attention needs to be paid, inter alia, to compatibility issues between AI and the GDPR in relation to access to data rights and explicability, purpose limitation, and data minimisation.

The first issue pertains to the right of access to personal data held by the controller as stipulated in art. This right also encompasses obtaining information regarding the existence of automated decision-making, including profiling, and meaningful information about the logic involved, as well as the significance and the envisaged consequences of such processing.

However, it is left unclear whether the exercise of this right also entails obtaining specific information and an explanation on how the decision was reached as stated in Recital 71 of the GDPR. A difficulty that arises concerns the so-called artificial neural networks. Neural networks are composed of a set of nodes, called neurons, arranged The Success of the European Union multiple layers and connected by links, thus modelling in software how the human brain processes signals. The problem lays in the fact that a neural network does not provide explanations of its outcomes. They are based on so many different variables and conditions that decisions do not follow a rationale that is meaningful to humans.]