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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Permissibility of Machine Learning in the EU: Driving Concepts Surrounding Robust Artificial Intelligence
 La Fontaine, Marina ; Špelda, Petr (advisor) ; Střítecký, Vít (referee)
LA FONTAINE, MARINA. Permissibility of Machine Learning in the EU: Driving Concepts Surrounding Robust Artificial Intelligence. 61 p. Master Thesis. Charles University, Faculty of Social Sciences, Institute of Political Science: International Security Studies. Supervisor: Petr Špelda, Ph.D. Abstract The European Commission's recent proposal, "Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) And Amending Certain Union Legislative Acts" follows a focal shift towards the integration of Artificial Intelligence and Machine Learning within European society and economy. While Europe has been a leader in producing legislation encompassing artificial intelligence (AI) and machine learning (ML) technologies, many critics have called for more vigorous legislation to support the efforts and goals of permissibility within the European Union. The new AI Act will be the first legislation written by the European Commission specifically directed at AI, with a goal of addressing both the risks and benefits through a human-centric approach to the technology. This thesis project assumes that there is an imminent necessity for the international security studies community to further recognize the role of such unprecedented technology within the social realities being formed. The outputs of...
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