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Spätestens seit der PISA-Studie aus dem Jahre 2000 ist der im deutschen Bildungssystem bestehende hohe Zusammenhang zwischen Bildungserfolg und Bildungsherkunft nicht nur für Akteure und Institutionen im Bildungssektor, sondern auch der breiten Öffentlichkeit als Gerechtigkeitsproblem deutlich geworden. ...
In what follows, I will present a condensed and non-exclusive list of the five most important problem domains in the development and implementation of Artificial Intelligence (AI), each with practical recommendations.
The first problem domain to be examined is the one which, in my view, is constituted by those issues with the smallest chances of being resolved. It should therefore be approached in a multi-layered process, beginning in the European Union (EU) itself.
"Artificial Intelligence (AI) is the future. [...] Whoever leads in AI will rule the world" (Russia Today, 2018). This was the central message that President Vladimir Putin conveyed to more than one million Russian school students in September 2017. He also promised to ensure that Russian knowledge of AI would benefit the world. However, the competition in this field is already playing itself out globally. Besides Russia, the USA and China are already in the race, with China, for example, having recently published an ambitious AI strategy, namely the "New Generation Artificial Intelligence Development Plan" (Webster et al., 2018). This document predicts China’s world leadership in the AI field as soon as 2030. The EU and several other countries – among them Germany in the autumn of 2018 - have followed suit with their own AI strategies. ...
In IT security today, the usage of AI is already established in multiple domains. SPAM detection is a well-known example where support vector machines try to distinguish wanted from unwanted emails. Author attribution combines natural language forensics and machine learning. Deep learning helps in identifying illicit images and has improved malware detection as well as network intrusion detection. ...