The impact of AI on the film industry
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Casting and location scouting: AI can streamline the casting process by analyzing facial expressions, voices, and physical characteristics to match actors with suitable roles. Examples of this technology already exist: for instance, Casting Matching Process AI (CMP-AI) creates the character profile by analyzing it directly from the script, based on keywords using three narrative elements: physical-aesthetic, psycho-aptitude and scenic. Also, it can aid location scouting by analyzing hundreds of images or providing insights about weather predictions, crowd control and logistics.
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As expected, one of the primary concerns is how AI uses copyrighted material as input for training its models. The 2019 Directive on Copyright in the Digital Single Market introduced exceptions for text and data mining (TDM), allowing rights holders to control or exclude their content from these processes. The proposed AI Act builds on this by requiring AI model providers to respect copyright and provide detailed summaries of the data used for training. But a recent landmark judgment issued by a German Court (Kneschke v. LAION), which held that a nonprofit organization copying images didn't infringe copyright law, may have significant impact in the application of the TDM exceptions. For example, according to the ruling, creators cannot opt out of having their work used for AI training in scientific research. ...
The draft law on AI approved in April in Italy proposes to revise national copyright law by clarifying that protected "intellectual works" must be of "human" origin and that AI-assisted works may still qualify for protection if their creation derives from the author's intellectual work. The draft law also aims to complement European legislation by facilitating the identification and recognition of AI systems in the creation of textual, photographic, audiovisual and radio content. ...
See the full story here; https://www.lexology.com/library/detail.aspx?g=ca7cb00c-1668-4838-8f86-c10aeda6e2cb
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