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Journal articles on the topic 'AI assisted patent prosecution'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Mr., Mohd Abdul Muneim Farzaan. "Revolutionizing Patent Processes: The Rise of AI-Assisted Patent Prosecution." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 26, 2025): 220–29. https://doi.org/10.5281/zenodo.15521506.

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<em>The rapid advancement of Artificial intelligence is transforming innovation across industries, including intellectual property (IP). AI generated inventions has become increasingly prevalent worldwide and are reshaping its traditional processes of patent Drafting, examination and enforcement. AI tools predict patentability and automate patent searches with high efficiency. These advancements enable patent professionals enhance their decision making. An AI system generates novel ideas and inventions for intellectual property rights and for patent purposes and it also helps in learning machi

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2

Sayed Ahmed Mohamed Elshamy, Sarah. "Digitalization of Patent Prosecution, using Blockchain & AI." Journal of Intellectual Property and Innovation Management 5, no. 4 (2022): 59–75. http://dx.doi.org/10.21608/jipim.2023.301674.

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Shahzeb Akhtar. "The Role of Artificial Intelligence in Enhancing Patent Lifecycle Management." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2194–205. https://doi.org/10.32628/cseit23112582.

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This article explores the transformative role of Artificial Intelligence (AI) across the entire patent lifecycle, from initial ideation to post-grant management. It examines how AI technologies are revolutionizing various aspects of patent processes, including brainstorming and invention disclosure, prior art searches, patent drafting, office action responses, and portfolio management. The article discusses the potential of AI to enhance efficiency, accuracy, and strategic decision-making in patent management while also addressing the ethical and legal challenges that arise from integrating AI

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Vidal, Kathi. "AI and Inventorship Guidance: Incentivizing Human Ingenuity and Investment in AI-assisted Inventions." Technology & Innovation 23, no. 1 (2024): 104–6. https://doi.org/10.21300/23.1.2023.8.

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Following the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI), the U. S. Department of Commerce has issued guidance on AI-assisted inventions via the United States Patent and Trademark Office (USPTO). This framework ensures that human contributions are significant enough for patent eligibility based on the Federal Circuit's "significant contribution" test. The guidance clarifies that AI-assisted inventions are not categorically unpatentable and outlines criteria for naming human inventors. Additionally, the USPTO is collaborating with th

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Mutale, Chisanga. "Crossing Frontiers: A Comparative Exploration of AI Inventorship and Ownership in Patent Law." International Journal of Research in Social Science and Humanities 05, no. 11 (2024): 57–69. https://doi.org/10.47505/ijrss.2024.11.5.

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This article aims at examininginventorshipand ownership ofArtificial Intelligence (AI) systems in patent law.This is achieved byemployinga comprehensive review of relevant patents Acts, policy documents and cases such as Thaler v. Iancu, case no. 1:20-cv-00903 (E.D. Va).The review is coupled with the analysis of AI inventorshipand ownershipacross various jurisdictions such as the United States of America, European Union and South Africa. This is done to understand the criteria for determining inventorship, ownershipand the contemporary interpretations of the concept of “intelligence."The artic

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Engel, Andreas. "Can a Patent Be Granted for an AI-Generated Invention?" GRUR International 69, no. 11 (2020): 1123–29. http://dx.doi.org/10.1093/grurint/ikaa117.

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Abstract Three patent offices had to answer the question of whether a patent can be granted for an invention for which an Artificial Intelligence (AI) system called DABUS was named as inventor. All applications were dismissed, but for different reasons. While the European Patent Office focused on formal rules, the UK Intellectual Property Office considered more substantive aspects, and the US Patent and Trademark Office relied on statutory language. From a policy perspective, the decisions find support in the fact that there is no clear consensus for AI to be recognized as an inventor, and tha

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Ms., Kummasani Vinodhini. "Artifical Intelligence in Cryptography: Protection of Cryptographic System under Patents." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 25, 2025): 95–111. https://doi.org/10.5281/zenodo.15514117.

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<em>Artificial Intelligence (AI) is transforming cryptographic approaches to encryption techniques, automating key generation, and strengthening safety mechanisms against cyber threats. Possible applications include strengthening data protection, detecting vulnerabilities, and optimizing cryptographic protocols. In particular, AI-based cryptographic models enhance the non- disable for security systems against advanced assaults, including those posed by quantum computing. Cryptography leverages AI through machine learning algorithms for anomaly detection, AI-based key management, and neural net

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Gómez-Quintana, Sergi, Christoph E. Schwarz, Ihor Shelevytsky, et al. "A Framework for AI-Assisted Detection of Patent Ductus Arteriosus from Neonatal Phonocardiogram." Healthcare 9, no. 2 (2021): 169. http://dx.doi.org/10.3390/healthcare9020169.

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The current diagnosis of Congenital Heart Disease (CHD) in neonates relies on echocardiography. Its limited availability requires alternative screening procedures to prioritise newborns awaiting ultrasound. The routine screening for CHD is performed using a multidimensional clinical examination including (but not limited to) auscultation and pulse oximetry. While auscultation might be subjective with some heart abnormalities not always audible it increases the ability to detect heart defects. This work aims at developing an objective clinical decision support tool based on machine learning (ML

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Lee, Dasheng, and Liyuan Chen. "Sustainable Air-Conditioning Systems Enabled by Artificial Intelligence: Research Status, Enterprise Patent Analysis, and Future Prospects." Sustainability 14, no. 12 (2022): 7514. http://dx.doi.org/10.3390/su14127514.

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Artificial intelligence (AI) technologies have developed rapidly since 2000. Numerous academic papers have been published regarding energy efficiency improvements for air-conditioning systems. This study reviewed 12 review papers and selected 85 specific cases of applications of AI for HVAC energy usage reduction. In addition to academic studies, 31,221 patents related to HVAC energy-saving equipment filed by 11 companies were investigated. In order to analyze the large amount of data, this study developed a resource description framework (RDF) as an analysis tool. This tool was used with a na

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Adv., Mahabalesh K. Patil. "The Legal Frontier: AI-Driven Innovations and the Future of IP Framework." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 26, 2025): 208–18. https://doi.org/10.5281/zenodo.15521494.

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<em>The rapid advancement of Artificial Intelligence is reshaping industries and redefining legal frameworks, particularly in the realm of Intellectual Property law. The paper examines the intersection of AI and IP rights, focusing on critical issues such as inventorship, authorship, and policy development. AI-generated creations challenge traditional legal concepts, raising questions about ownership, accountability, and liability. Current IP laws, primarily designed for human ingenuity, struggle to accommodate AI-generated works, necessitating urgent legal reforms. The paper categorizes AI-dr

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Ismaila Adebowale, Hassan, Ahmad Mohamed, Odi Agwu Chukwuemeka, et al. "Intellectual property law and artificial intelligence in Uganda: Trending issues and future prospects." Kampala International University law journal 6, no. 2 (2024): 224–40. https://doi.org/10.59568/kiulj-2024-6-2-12.

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At the initial stage, Al-generated works were categorized as computer-assisted or computer-propelled works, therefore, copyright/patent rights were conferred on the individuals or persons who utilized Al as a tool. In other words, authorship/inventorship under the copyright and patent law is viewed to be human-centric because authorship/inventorship is reserved for the natural human person. Artificial Intelligence’s influence has permeated all sectors of human endeavors - science, technology, academia, politics, business, law, economics and other perspectives. Past experience has vividly illus

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12

Bui, Luong Vu. "Advancing patent law with generative AI: Human-in-the-loop systems for AI-assisted drafting, prior art search, and multimodal IP protection." World Patent Information 80 (March 2025): 102341. https://doi.org/10.1016/j.wpi.2025.102341.

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13

MYKHAILENKO, V. "Problems of determining the authorship of inventions created using artificial intelligence: the experience of the USA." INFORMATION AND LAW, no. 4(51) (December 10, 2024): 73–82. https://doi.org/10.37750/2616-6798.2024.4(51).317870.

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The article is devoted to the legal regulation of problematic issues in the intellectual property sphere related to determining patentability and inventorship on inventions created using artificial intelligence. The purpose of the study is to analyze the experience of the United States Patent and Trademark Office for further development of national documents that will regulate these issues. The article examines how these issues are addressed in the United States as one of the leading countries in innovation, whose authorities keep artificial intelligence-related issues under close control and

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14

Kung, Woon-Man, and Muh-Shi Lin. "CT-Based Quantitative Analysis for Pathological Features Associated With Postoperative Recurrence and Potential Application Upon Artificial Intelligence: A Narrative Review With a Focus on Chronic Subdural Hematomas." Molecular Imaging 19 (January 1, 2020): 153601212091477. http://dx.doi.org/10.1177/1536012120914773.

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Chronic subdural hematomas (CSDHs) frequently affect the elderly population. The postoperative recurrence rate of CSDHs is high, ranging from 3% to 20%. Both qualitative and quantitative analyses have been explored to investigate the mechanisms underlying postoperative recurrence. We surveyed the pathophysiology of CSDHs and analyzed the relative factors influencing postoperative recurrence. Here, we summarize various qualitative methods documented in the literature and present our unique computer-assisted quantitative method, published previously, to assess postoperative recurrence. Imaging f

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15

Müller, Martin. "Issues in patenting ‘artificial intelligence’ from an EPO perspective." Journal of Intellectual Property Law and Practice, January 4, 2024. http://dx.doi.org/10.1093/jiplp/jpad114.

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Abstract This article demonstrates that artificial intelligence (AI) is generally not a useful category in patent prosecution and patent law to address questions of patentability or inventorship. It has been suggested that inventions relating to AI will pose major problems for patent prosecution, for example regarding patentable subject-matter, sufficiency of disclosure, the level of inventive step or the question of inventorship. In this context, far-reaching assumptions are made about the nature and the powers of AI which are often overstated and distract from real issues. On the one hand, A

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16

Schultz, Lauren. "Legal and Policy Issues Surrounding AI-assisted Chemistry and Drug Discovery." Arizona Law Journal of Emerging Technologies 8, no. 1 (2024). http://dx.doi.org/10.2458/azlawjet.7077.

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Artificial intelligence (AI) has forever shaped our society and the ways in which individuals synthesize and utilize information. In particular, AI has revolutionized scientific research and the identification of potential disease therapeutics. It is no secret that developing a new drug is expensive and takes years. Luckily, AI has implications that would help expedite the process and make drug development more cost-effective. Yet, a major point of debate has been whether AI-assisted discoveries qualify for patent protection. Recent court decisions have overwhelmingly asserted that only human

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17

Perritt, Jr., Henry H. "Patenting an AI-Generated Infringement Detector." Arizona Law Journal of Emerging Technologies 8, no. 1 (2025). https://doi.org/10.2458/azlawjet.8294.

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New technologies of generative AI vastly expand the power of searches for products and services that may infringe patents. Designing such systems requires attention to the dynamics of patents and innovation, to the vast scope of potential infringers, and to the probability that any particular innovation will pose a competitive threat to a patent holder. Existing laws allow such infringement search applications to be patented. The more interesting question is: Can an application for an infringement detector developed by AI be patented? The framework for patentability set forth in the Patent Act

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18

Submitter, IPO. "AI-assisted patent prior art searching - feasibility study." SSRN Electronic Journal, 2020. http://dx.doi.org/10.2139/ssrn.4101202.

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19

Gurgula (Ph.D., LLM), Dr Olga. "AI-assisted inventions in the field of drug discovery: readjusting the obviousness analysis." International Journal of Social Science and Public Policy, August 31, 2020, 7–21. http://dx.doi.org/10.33642/ijsspp.v2n8p2.

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Artificial intelligence (‘AI’) is increasingly applied at all stages of drug discovery. While AI has the potential to boost innovation, it also raises many important ethical, social, political, and legal issues. Among the latter are the challenges that AI poses for the patent system. With the rapid evolution of AI technologies and the increase in their computational power, the process of inventing has undergone substantial changes. As AI significantly expands human capabilities, inventions that were previously the result of human ingenuity, perseverance or serendipity can now be achieved by ro

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20

Aboy, Mateo, Kathleen Liddell, and Aparajita Lath. "Inventorship in the age of AI: examining the USPTO Guidance on AI-assisted inventions." Journal of Intellectual Property Law and Practice, March 20, 2025. https://doi.org/10.1093/jiplp/jpaf019.

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Abstract The rapid rise of artificial intelligence (AI) in innovation has introduced challenging questions at the intersection of patent law and AI, including inventorship. In response, the United States Patent and Trademark Office (USPTO) issued its 2024 ‘Inventorship Guidance for AI-Assisted Inventions’, emphasizing that inventorship is human-centric. An AI system cannot be named an inventor, although it may assist in a patentable inventive process if a natural person significantly contributes to the invention’s conception. This position is grounded in statutory language, judicial precedent

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21

Matulionyte, Rita. "‘AI is not an Inventor’: Thaler v Comptroller of Patents, Designs and Trademarks and the Patentability of AI Inventions." Modern Law Review, July 5, 2024. http://dx.doi.org/10.1111/1468-2230.12907.

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The increasing use of Artificial Intelligence (AI) technologies in inventive processes raises numerous patent law issues, including whether AI can be an inventor under law and who owns the AI‐generated inventions. The UK Supreme Court decision in Thaler v Comptroller of Patents, Designs and Trademarks has provided an ultimate answer to this question: AI cannot be an inventor for the purposes of patent law. This note argues, first, that while such a human‐centric approach to inventorship might discourage the use and development of AI technologies with autonomous invention capabilities, it will

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22

Rinkerman, Gary. "Artificial Intelligence and evolving issues under US copyright and patent law." Interactive Entertainment Law Review, September 2023, 1–18. http://dx.doi.org/10.4337/ielr.2023.0002.

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The proliferation of AI tools in the arts, commercial design industries, and other endeavours has raised core questions regarding who or what actually supplied the alleged creative or inventive elements, if any, to the AI system’s output. In both US copyright and patent law the question focuses on a case-by-case analysis as to how much of the final product evidences human ‘authorship’ or invention. Also, creativity as well as infringement, can be located in various phases of the AI system’s creation, ingestion of training materials, management, and operation – including its output, whether aff

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23

"Patent Disclosure Requirement for AI-Assisted inventions: A Comparative Study of EU and India." Journal of Intellectual Property Rights 28, no. 2 (2023). http://dx.doi.org/10.56042/jipr.v28i2.1178.

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24

Xie, Yunting, Matti La Mela, and Fredrik Tell. "Multimodal LLM-assisted Information Extraction from Historical Documents: The Case of Swedish Patent Cards (1945-1975) and ChatGPT." Digital Humanities in the Nordic and Baltic Countries Publications 7, no. 2 (2025). https://doi.org/10.5617/dhnbpub.12294.

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This paper presents an AI-assisted method for information extraction from historical documents using multimodal large language model (MLLM). We develop a pipeline to retrieve text and events from Swedish historical patent cards using the GPT-4o model to extend the Swedish historical patent database. Our study demonstrates how generic MLLMs can help to save time and labor cost for creating applicable data in a low-source setting, which is a common challenge for digital humanities projects leveraging the latest AI technologies. We also explore the error flagging for automated text recognition th

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25

Wang, Yu-Hui, and Guan-Yu Lin. "Exploring AI-healthcare innovation: natural language processing-based patents analysis for technology-driven roadmapping." Kybernetes, January 11, 2022. http://dx.doi.org/10.1108/k-03-2021-0170.

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Purpose The purposes of this paper are (1) to explore the overall development of AI technologies and applications that have been demonstrated to be fundamentally important in the healthcare industry, and their related commercialized products and (2) to identify technologies with promise as the basis of useful applications and profitable products in the AI-healthcare domain. Design/methodology/approach This study adopts a technology-driven technology roadmap approach, combined with natural language processing (NLP)-based patents analysis, to identify promising and potentially profitable existin

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26

Kim, Daria. "The Illusory Standard of Significant Human Contribution to AI-Assisted Inventions after the DABUS Decision of the German Federal Court of Justice." IIC - International Review of Intellectual Property and Competition Law, February 17, 2025. https://doi.org/10.1007/s40319-025-01567-8.

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Abstract This analysis shows that the decision of the German Federal Court of Justice in the DABUS case provides for a surface-level approach to the much-debated issue of inventorship in the context of artificial intelligence (AI) applications. While the Court accepted the additional information concerning the invention’s genesis on the inventor designation form as being in conformity with the existing (procedural) law, it disregarded the substance of this information, which prima facie raises doubts as to whether the designated natural person is indeed the inventor, particularly given the hig

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27

Jain, Vanshika, and Rekha Verma. "AI AND IP: RETHINKING OWNERSHIP, CREATIVITY AND RIGHTS." International Journal For Multidisciplinary Research 7, no. 2 (2025). https://doi.org/10.36948/ijfmr.2025.v07i02.42466.

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Artificial Intelligence is transforming creative and innovative processes by improving efficiency, facilitating large-scale content generation, and making knowledge and tools more accessible. From the preparation of legal documents to the composition of music and the design of pharmaceuticals, AI is reshaping various industries. Contrastingly, it has also challenged the long-standing intellectual property (IP) law principles, which were focused on human creativity, authorship, and originality. The current IP frameworks are being tested by the advent of Generative AI technologies that can creat

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28

Lyubchenko, Irina. "NFTs and Digital Art." M/C Journal 25, no. 2 (2022). http://dx.doi.org/10.5204/mcj.2891.

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Introduction This article is concerned with the recent rise in popularity of crypto art, the term given to digital artworks whose ownership and provenance are confirmed with a non-fungible token (NFT), making it possible to sell these works within decentralised cryptocurrency art markets. The goal of this analysis is to trace a genealogy of crypto art to Dada, an avant-garde movement that originated in the early twentieth century. My claim is that Dadaism in crypto art appears in its exhausted form that is a result of its revival in the 1950s and 1960s by the Neo Dada that reached the current

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