This study examines how people perceive artwork created by artificial intelligence (AI) and how presumed knowledge of an artist's identity (Human vs. AI) affects individuals’ evaluation of art. Drawing on Schema theory and theory of Computers Are Social Actors (CASA), this study used a survey-experiment that controlled for the identity of the artist (AI vs. Human) and presented participants with two types of artworks (AI-created vs. Human-created). After seeing images of six artworks created by either AI or human artists, participants ( n = 288) were asked to evaluate the artistic value using a validated scale commonly employed among art professionals. The study found that human-created artworks and AI-created artworks were not judged to be equivalent in their artistic value. Additionally, knowing that a piece of art was created by AI did not, in general, influence participants’ evaluation of art pieces’ artistic value. However, having a schema that AI cannot make art significantly influenced evaluation. Implications of the findings for application and theory are discussed.

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This article features a content analysis of the entire corpus of news articles published about North and South Korea by five major American news websites in 2016. It provides an insight into the multiple and contradictory ways in which North Korea is framed by the American news media. The study finds that responsibility for the ongoing crisis on the peninsula is attributed to a small number of actors and that attribution of responsibility, as well as intensity of coverage, differs significantly among news agencies. Cable news was found to focus on conflict to a greater degree than non-cable outlets, and online-only news sites were found to focus more on Kim Jong-un individually. The article qualitatively addresses these differences in coverage and discusses their implications.