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However, for purposes of this post, this Kat is particularly interested in the comments made at a workshop hosted by the Academy of Science of South Africa (ASSAf) on 29 June 2021. The workshop attracted scholars and participants from diverse stakeholder groups. The point of debate is what to do about it.
It actively involves students with different workshops, competitions, discussions, and debates. Analysing the impact of Indian copyright law on fairuse in academic and critical writing. Evaluating the doctrine of fairuse for Indian social media platforms in light of global cases.
Internal Use Cases That May Require Licensing Internal reuse of copyrighted content by data scientists may seem benign, but it can still potentially infringe on the rights of the copyright holder. Here are some common examples, and why they could be potentially infringing: Sharing copies of a scientific article with colleagues on your team.
It recognizes that generative AI systems are trained by reading, viewing, and listening to copies of human-created works which are subject to copyright protection. It also talks about suggestions that such copies are too trivial/de minimis to qualify as infringement.
We wanted a dataset allowing us to compare laws across countries and over time, and we set out to develop one. We held a series of workshops during which we gradually developed a survey that would cover a wide range of copyright exceptions. General Exception, Including Fairuse. Personal or Private Uses.
Schwemer: we might want special access to data for purposes of debiasing AI as a uniquely good justification for, e.g., copying for training. Frosio: In US it is obvious that training the machine is fairuse; not the case in Europe. What do we do?
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