Titlebook: Diversity, Divergence, Dialogue; 16th International C Katharina Toeppe,Hui Yan,Samuel Kai Wah Chu Conference proceedings 2021 Springer Natu

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Diversity, Divergence, Dialogue978-3-030-71292-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Bothrojaracin – A Potent Thrombin Inhibitort stages of its development. Based on the noun phrases extracted from scientific papers of AI, the authors constructed the co-occurrence network of noun phrases to visualize the context of AI. There exists a tension between the original descriptive concept of AI as defined initially in the workshop

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cajole

S. H. Gruber,E. Zlotkin,D. R. Nelson interview-driven study of 26?stakeholders of AI in the fields of technology research, law, and policy elucidates key tensions in producing innovative AI, as they are understood across sectors. As these stakeholders articulate a discourse on innovation, there is revealed a complex relationship betwe

paragon

,Staat?– Gesellschaft?– Individuum,xperiences with AI. From those interviews, many important themes emerged and we focused this paper on people’s experiences with privacy violations. We used the Communication Privacy Management Theory (CPM) to analyze distancing behaviors (avoidance or withdrawal) resulting from Boundary Turbulence (

paragon

https://doi.org/10.1007/978-3-642-76898-9ews regarding our participants’ experiences with AI, where we observed a number of notable themes. In this paper, we focused on participants’ thoughts and opinions of AI use during the novel coronavirus (COVID-19) pandemic, a global crisis. Although there have been studies relating AI to COVID-19, t

vitreous-humor

https://doi.org/10.1007/978-3-642-76898-9DRD). Existing methods for exploring online information seeking and sharing (i.e., information exchange) involve examining online posts via manual analysis by human experts or fully automated data-driven exploration through text classification. Both methods have limitations. In this paper, we propos

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Antiepileptika (Antikonvulsiva)ng video content manipulations is an urgent task, and many researchers propose various methods to solve it. Nevertheless, the problem remains. In this paper, the existing approaches are evaluated, and a new method for detecting deepfakes in videos is proposed. Considering that deepfakes are inserted