======Critics of Generative AI Are Worrying About the Wrong IP Issues======
The report argues that concerns about generative AI infringing on IP rights are misguided and proposes focusing on strengthening other IP protections instead.  \\ 
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^  Quick Facts  ^^
|Report location:  |[[https://www2.datainnovation.org/2023-ai-art-ip.pdf|source]]   |
|Language:  |English  |
|Publisher:  |[[encyclopedia:us_cdi_center_for_data_innovation|Center for Data Innovation]]  |
|Authors:  |Daniel Castro  |
|Geographic focus:  |Global   |

=====Methods=====
The research method involved analyzing the arguments against generative AI's use of copyrighted content, examining the potential applications of generative AI, and reviewing existing IP laws and their enforcement. The report also considered the impact of generative AI on creators and the broader economy.  \\ 
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=====Key Insights=====
This report discusses the impact of generative AI on intellectual property (IP) rights, refuting common criticisms about AI's use of copyrighted content. It highlights the potential of generative AI in various sectors and emphasizes that restricting AI from using legally accessed data could hinder its development. The report suggests that policymakers should concentrate on enforcing existing IP rights, providing clear guidance for AI tool usage, introducing legislation against online piracy, and expanding laws to protect individuals from impersonation and nonconsensual intimate imagery. It also addresses legitimate IP concerns, such as copyright infringement, distribution of copyrighted content, creating forgeries, and impersonating individuals.  \\ 
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=====Additional Viewpoints=====
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<span #categories_box> Categories:  {{tag>English_publication_language}} |  {{tag>Global_geographic_scope}} |  {{tag>ai_applications}} |  {{tag>copyright_law}} |  {{tag>creator_protection}} |  {{tag>data_training}} |  {{tag>enforcement}} |  {{tag>generative_ai}} |  {{tag>ip_rights}} |  {{tag>online_piracy}} |  {{tag>policy_recommendations}} |  {{tag>technology_impact}}   </span>  


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