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[Book Review] 25 things you should know about artificial intelligence, art and copyright

The IPKat

This Kat is happy to review “ 25 things you should know about artificial intelligence, art and copyright ” by Pablo Fernández Carballo-Calero (Aranzadi, 2023, 160 p.). Now in its second edition, the book offers a primer on copyright-related challenges that artificial intelligence (AI) presents.

Art 52
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Never Too Late: If you missed the IPKat the past 2 weeks!

The IPKat

COPYRIGHT Katfriend Moritz Sutterer posted on a new competition tool that the German Competition Authority recently tried out against Google in relation to press publishers' neighbouring right. Reminder: last call to vote for your best IP book of 2021 by participating in the poll here !

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The Jungle Bird, El Diablo, and the Zombie or Machine Learning Models, Computer Programs and Copyright put to the test

Kluwer Copyright Blog

Those versed in the intersection between IP rights and technology know that computer programs protection has always caused inevitable frictions IP law. Additionally, all proprietary and open source software licensing rely on copyright protection. Nevertheless, when one considers ML models, the first issue is conceptualising them.

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Digital collections from GLAM institutions: Policy Paper

Kluwer Copyright Blog

Context Copyright can be challenging for cultural institutions (or “GLAM“ for Galleries, Libraries, Archives and Museums) when pursuing digitization and dissemination activities, as copyright governs whether a given work can be used and if so, how (as shown in recent studies for museums , archives or libraries ). Proposal 1.

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Book Review: Overlapping Intellectual Property Rights (Second Edition)

The IPKat

The second edition offers revised, or wholly rewritten chapters to the overlaps discussed in the first edition so as to reflect recent developments, as well as to include new chapters (the overlap between privacy and copyright law; privacy and secrecy; trademarks certification marks and collective marks; and IP and traditional knowledge).