Artifitial intelligence technologies: disclosure issues in a patent application

The rapid growth of technologies using artificial intelligence (AI) requires legal regulation of the rules of disclosure of inventions that apply AI to allow the person skilled in the art to perform the invention. Without information on the details of the machine learning of a self-learning algorithm, it is impossible to perform an invention based on the use of such an algorithm. If a ready-made program model for implementing AI is not available, it will be necessary to disclose in the specification of the invention information about a method for creating a model from which a person skilled in the art can write and train a machine learning program. Disclosures for creating an AI software product will include, for those skilled in the art, the type of algorithm and its parameters, characterization of the data used, data collection methods, data preprocessing step, training methods, initialization of weights, data entry process, tuning and improvement of existing models, post-processing, and interpretation of model results. At a minimum, the correlation between the data input to the machine learning algorithm and the data output from the algorithm should be disclosed. The set of required disclosures depends on the type of algorithm. However, the rules for disclosure of inventions using AI are not specified in Russian or foreign regulatory documents. The above is fully applicable to utility models. The exception is the incomplete lists of features that may characterize the invention and utility model, which are given in the requirements for the respective applications. The minimum set of information specific to AI, the presence of which in applications for a patent for an invention, utility model is necessary to make it possible to realize the invention, utility model, requires further study and elaboration.

1. Pilenko, A. A. (2001), Pravo izobretatelya [Inventor’s Right], Statut, Moscow.

2. Idris, K. (2004) “Intellectual Property: A Power Tool for Economic Growth”, World Intellectual Property Organization, Geneva, Switzerland.

3. Korchagin, A. D. (ed.) (1999), Teoreticheskie i prakticheskie aspekty ohrany promyshlennoj sobstvennosti v Rossijskoj Federacii [Theoretical and Practical Aspects of Industrial Property Protection in the Russian Federation], INIC Rospatent, Moscow, Russia.

4. Sinelnikova, V. N. and Revinsky, O. V. (2017), “Rights to The Results of Artificial Intellect”, Copyright (Bulletin of the Academy of Intellectual Property), no. 4, pp. 17–27.

5. Sessitsky, E. P. (2018), “Protection of the results generated by artificial intelligence systems, within the existing legal framework”, Patents and Licenses. IP Rights, no. 11, pp. 49–55.

6. Galkovskaya, V. G. and Alekseeva, O. L. (2024) “New Patent Legislation in the Field of Information Technology”, Patents and Licenses. IP Rights, no. 11, pp. 1–14.

7. Alekseeva, O. L. and Zaitsev, Yu. S. (2023) “Computer Inventions: Development of Patenting Methodology”, Patents and Licenses. IP Rights, no. 2, pp. 14–25.

8. Mehdi Poursoltani (2021), “Disclosing AI Inventions”, Texas Intellectual Property Law Journal, 29:41, pp. 41–64.

9. Korean Intellectual Property Office (2022), A I : A I [A Study on the Utilization of AI Learning Data: Focusing on the disclosure, protection, and utilization of AI learning data], available at: https://www.kipo.go.kr/ko/kpoBultnFileDown.do?ntatcSeq=16688&ntatcAtflSeq=1&sysCd=SCD02&aprchId=BUT0000048 (accessed: 14 March 2024).

10. Korbut, D. (2017), “Machine Learning Algorithms: Which One to Choose for Your Problem”, available at: https:// web.archive.org/web/20171102045813/https://blog.statsbot.co/machine-learning-algorithms-183cc73197c (accessed: 24 November 2024).

11. Poghosyan, S. (2023), “A Beginner’s Guide to AI Classification: Understanding the Basics”, available at: https:// plat.ai/blog/ai-classification/ (accessed: 23 November 2024).

12. Drexl, J. et al. (2019), “Technical Aspects of Artificial Intelligence: An Understanding from an Intellectual Property Law Perspective”, Rochester, NY, available at: https://doi.org/10.2139/ssrn.3465577 (accessed: 26 March 2024).