Artificial Intelligence and the Challenges of Copyright Protection Systems in Search of Common Norms
Keywords:
design software, graphic design., OTN (optical transport network), optical control plane, SDON (software defined optical network), optiSystem, openflow, SDN (software defined network)., photonics., optics, light, lasers, journal manuscripts, LaTeX template., Four Universal Data Structures of 169 arrays, Liver (GSE14520, 357 patients), Breast(GSE42568, 116 patients), Colorectal (GSE8671, 63 patients), Renal (GSE66270, 28 patients)., Artificial Intelligence (AI), AI-generated works, innovation, authorship, originality, copyright lawAbstract
The integration of artificial intelligence (AI) into the production of creative works presents significant challenges to the existing frameworks of copyright law. With AI's increasing autonomy in creative processes, traditional notions of authorship and originality are under scrutiny, necessitating a reevaluation of copyright protections. The paper proposes an evolved copyright framework that distinguishes between AI-assisted and AI-autonomous creations, suggesting clear guidelines for AI authorship and recommending the establishment of a specific copyright category for AI-generated works. This category would adjust protection levels and terms to reflect the unique nature of these works while ensuring that human creativity remains incentivized. The proposed framework aims to recalibrate copyright law to ensure the protection of human creators' rights while acknowledging AI's innovative contributions. This focused approach underscores the need for copyright law to adapt to technological advances, ensuring that it continues to fulfill its role in promoting creativity and innovation.
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