内容(测量理论)
现象
媒体内容
点(几何)
计算机科学
人类智力
内容分析
人工智能
心理学
认识论
多媒体
社会学
社会科学
数学
哲学
几何学
数学分析
作者
Reza Arkan Partadiredja,Carlos Entrena Serrano,Davor Ljubenkov
标识
DOI:10.1109/cmi51275.2020.9322673
摘要
Recent artificial intelligence (AI) developments in the way machines learn have now made it possible for AI to generate media content-image, sound, and text. The highly realistic output of AI-generated media content implants the question of whether we can still tell the difference between what is AI or human. In consequence, this paper explores the socio-ethical implications of this type of content. As a starting point for the discussion, an illustrative experiment packaged as a game of trivia was conducted and played by 2383 participants which generated a total of 24502 guesses in differentiating between AI or humans. The socio-ethical analysis provides insights into how this phenomenon unfolds and its implications for our future.
科研通智能强力驱动
Strongly Powered by AbleSci AI