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His credibility as a witness was also questioned, based on his prior felony conviction for lying to the FBI during an art fraud investigation. Although the defendants were found liable for trespass, conversion, and negligence, the jury awarded the artist $120,000 for only four undisclosed, unnamed works of art from over 4,000.
The Tempestry Project is a collaborative fiber arts project that presents global warming data in visual form through knitted or crocheted artwork. The project is part of a larger "data art" movement and the developing field of climate change art, which seeks to exploit the human tendency to value personal experience over data by creating accessible experiential representations of the data.
[1] [2] With the stated purpose to promote art and culture, copyright law assigns a set of exclusive rights to authors: to make and sell copies of their works, to create derivative works, and to perform or display their works publicly. These exclusive rights are subject to a time and generally expire 70 years after the author's death or 95 ...
A "derivative work" is a work based upon one or more preexisting works, such as a translation, musical arrangement, dramatization, fictionalization, motion picture version, sound recording, art reproduction, abridgment, condensation, or any other form in which a work may be recast, transformed, or adapted.
The Art Law Podcast – The Art Law Podcast hosts discussions about topics at the intersection of art and law with art lawyers Steve Schindler and Katie Wilson-Milne and their distinguished guests. Warfare of Art & Law – The goal of Warfare of Art and Law is to start conversations about issues revolving around the arts, the law, and culture.
More than 1,200 years ago, an unidentified Maya artist decorated an extraordinary, 16-inch circular ceramic plate, painting one half in flat, nearly black slip and the other a creamy off-white.
Deep learning models source large data sets from the Internet such as publicly available images and the text of web pages. The text and images are then converted into numeric formats the AI can analyze. A deep learning model identifies patterns linking the encoded text and image data and learns which text concepts correspond to elements in images.
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