Data rules for machine learning: How Europe can unlock the potential while mitigating the risks (Blanka Soulava, Hamish Cameron, Victoria Ying, Atlantic Council)

Artificial intelligence (AI) will increasingly shape societies and the global economy. Machine learning—which is responsible for the vast majority of AI advancements—is enhancing the way businesses and governments make decisions, develop products, and deliver services. For machine learning algorithms to learn and make increasingly accurate predictions, they need large quantities of high-quality data that is relevant, representative, free of errors, and complete. As such, data policies have a significant bearing on an economy’s capacity to take advantage of machine learning.

Data rules for machine learning: How Europe can unlock the potential while mitigating the risks – Atlantic Council

Marco Emanuele
Marco Emanuele è appassionato di cultura della complessità, cultura della tecnologia e relazioni internazionali. Approfondisce il pensiero di Hannah Arendt, Edgar Morin, Raimon Panikkar. Marco ha insegnato Evoluzione della Democrazia e Totalitarismi, è l’editor di The Global Eye e scrive per The Science of Where Magazine. Marco Emanuele is passionate about complexity culture, technology culture and international relations. He delves into the thought of Hannah Arendt, Edgar Morin, Raimon Panikkar. He has taught Evolution of Democracy and Totalitarianisms. Marco is editor of The Global Eye and writes for The Science of Where Magazine.

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