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Authorship In The Age Of Algorithms: Adapting Copyright Law For Ai-Generated Content, Sydney Thomas
Authorship In The Age Of Algorithms: Adapting Copyright Law For Ai-Generated Content, Sydney Thomas
Journal of Nonprofit Innovation
In the age of Artificial Intelligence (AI), the relationship between technological advancement and legal protection for human creators has become increasingly critical. From Stephen Hawking's admonition of the potential risks of unregulated AI to Sam Altman's advocacy for proactive regulation, this paper navigates the evolving landscape of AI innovation and copyright law. By examining the challenges posed by AI-generated content, including issues of intellectual property infringement and privacy concerns, it highlights the need for adaptive legal frameworks. Strategic enhancements to copyright law must be developed, such as bolstering fair use doctrine and expanding creator rights, to ensure the protection of …
The Future Of Art And Copyright In The World Of Ai, Danna Subia Espinoza
The Future Of Art And Copyright In The World Of Ai, Danna Subia Espinoza
Catholic University Journal of Law and Technology
This paper focuses on the interpretive framework embodied in copyright law and its application to art-producing technologies, how this framework has been applied to new technologies in the past, and the issues surrounding the adaption of these old frameworks to the modern concern of AI-created art. The paper also considers how the application of copyright law to modern AI issues reflects the law’s capability, or inability, to evolve and address novel situations, specifically in relation to AI-based technology. Further, it examines what, if any, steps should be taken to promote courts maintaining a firm grip on copyright protections. The issues …
Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Georgia State University Law Review
Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor– examiner interaction to machine–human interactions. In response to automated patent drafting, automated office-action responses, “cloems” (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor–examiner relationship as a “patenting market,” economic principles suggest stronger efficiencies if both inventors and the USPTO have better …