George Giannakopoulos works as an AI researcher (SFS grade B) in NCSR 'Demokritos'. Early in his student's life, he developed a strong interest and love for Informatics and AI. This led to a degree in Informatics and Telecommunications from the National and Kapodistrian Uninversity of Athens. During his studies, he was also working as a software engineer in ICT companies, working on domains such as medical informatics and Web technologies. He then turned to research, pursuing a PhD on AI from the Dpt. of Information and Communication Systems Engineering of the Univ. of the Aegean. After obtaining his PhD, in 2009, he performed research as a post-doctoral researcher within and outside of Greece. In Greece he consistently worked for NCSR 'Demokritos' in national and international projects related to big data, automatic summarization, sentiment analysis, the Semantic Web, text mining and, more recently, the interaction between AI and Natural Sciences. In 2012, he co-founded the awarded, private not-for-profit company, SciFY, which brings research results into everyday life as open solutions to societal challenges. His research actions led him to teaching in different courses, as part of Cognitive Science, Data Science and Artificial Intelligence MSc programmes. In 2021 he published a Greek book on AI which is aimed at the wider public, while retaining a scientifically accurate viewpoint. The book is titled 'AI: a subtle demystification'. Dr Giannakopoulos has contributed to the EU DIgitalSME Focus Group on AI, to the Scientific Domain Council of the National Council of Research, Technology and Innovation (ESETEK), the Board of Hellenic Artificial Intelligence Society (EETN), as well as to the National AI Strategy of Greece. Thus, for more than 15 years, George Giannakopoulos has remained irrevocably in love with humanity and its reflection on the AI mirror.
AI: shattering the illusion of omnipotence
In this talk we will challenge and decompose the myths on contemporary AI. We will outline its limitations and achievements, its obvious and less obvious flaws, and we will highlight the idiosyncrasies of machine and deep learning. We will see how humanity is reflected into the broken mirror of AI, how we - unknowingly - induce our cultural legacy (or the lack of it) into AI systems and we will bust the myth of neutral and objective AI. We will conclude by shown how we can all actively co-create an AI that is human-centric by design, beyond selfishness and hype.
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