Course "Intellectual Property": How to Protect Rights to AI Content and Trademarks in 2026

The world of content in 2026 has changed beyond recognition. Neural networks write texts, generate images, code, and music. Companies and freelancers increasingly use AI tools to create products, but few stop to think: who owns the rights to these creations? Can a neural network be an author? What happens if tomorrow your competitor copies the content you generated and registers it as their own? The answers to these questions lie in the realm of intellectual property law — and you can't do without specialized knowledge here.

According to the World Intellectual Property Organization (WIPO), the number of patent applications related to artificial intelligence has grown severalfold in recent years. Russia is not standing on the sidelines: judicial practice in cases involving rights to AI content is only just taking shape, and legislation (Part 4 of the Civil Code of the Russian Federation) does not yet contain direct norms regulating neural network authorship. This creates both risks and opportunities for business. A mistake in formalizing rights can cost a company millions, while a competent approach, on the contrary, opens up new sources of income through licensing.

That is precisely why the course "Intellectual Property" on the asibiont.com platform is becoming a desk reference for entrepreneurs, lawyers, developers, and creators. This is not dry theory but a practical guide to action: how to formalize rights to an AI product, how to draft a license agreement, how to protect a trademark and not infringe on others' rights. In this article, we'll examine what the course teaches, who it suits, and why the AI-learning format makes it especially effective.

What Intellectual Property Is in the Age of AI and Why It Concerns Everyone

Intellectual property (IP) refers to the results of creative activity to which the law grants protection. In Russia, the key document is Part Four of the Civil Code of the Russian Federation, which came into force back in 2008. It covers copyright, related rights, patent law, means of individualization (trademarks, company names), and know-how.

Until recently, everything was more or less clear: the author is the person who created the work. But with the advent of generative neural networks (ChatGPT, Midjourney, Stable Diffusion, GigaChat, and others), legal uncertainty has arisen. Who is the author of an image generated by a neural network from a text prompt? The user who wrote the prompt? The developer of the model? Or no one? Russian legislation explicitly states: only a citizen, that is, a natural person, can be an author (Article 1257 of the Civil Code of the Russian Federation). A neural network is not one. This means that the result of generation may not be protected by copyright at all — unless there was a creative contribution by a human in the process.

In practice, this means: if you simply pressed the "generate" button and got an image, most likely it will not be an object of copyright. But if you refined it in a graphic editor, added your own elements, created a unique composition — a basis for protection appears. The line is thin, and you need to understand it so as not to lose assets.

The course "Intellectual Property" on asibiont.com teaches precisely how to analyze such situations and make legally sound decisions. You will learn to determine when AI content is protectable, how to prove your creative contribution, and what documents are needed for this.

What a Student Will Learn: Key Skills and Knowledge

The course program is built around practical tasks faced by IT companies, digital agencies, startups, and independent authors. Here are the main blocks:

1. Copyright and related rights. You will examine what objects of copyright are, what their characteristics are (creative nature, objective form), how authorship arises and how it is transferred. A separate focus is on works created using AI. You will understand what evidence of creative contribution courts accept and how to document the creation process.

2. Patent law. You will study inventions, utility models, and industrial designs. You will learn how to patent a technical solution based on a machine learning algorithm and what requirements Rospatent imposes. The course includes sample patent applications — you will be able to prepare documents yourself.

3. Means of individualization. Trademarks, company names, appellations of origin of goods. In 2026, registering a trademark for an AI product has its own specifics: you need to choose the correct Nice Classification classes and take into account that a neural network may generate names that are already taken. You will learn how to conduct a preliminary search and file an application.

4. Know-how and trade secrets. How to protect algorithms, datasets, and internal methodologies without disclosing them? The know-how regime, non-disclosure agreements (NDAs), and other tools.

5. License agreements. The most in-demand topic. You will receive templates of license agreements for the use of AI content and learn to specify terms on remuneration, territory, term, and methods of use. You will examine how an exclusive license differs from a non-exclusive one and how not to lose your rights.

6. Protection of rights and judicial practice. How to draft a statement of claim, what evidence to collect, how to recover compensation. The course contains sample claims and analysis of real cases, including disputes over rights to content generated by neural networks.

After the training, you will be able to independently build an IP protection strategy in a project, minimize the risks of claims, and properly formalize relations with contractors and partners.

How Learning on asibiont.com Works: Personalized Lessons from a Neural Network

The asibiont.com platform offers a fundamentally new approach to learning. Instead of standard video lessons and a fixed program, you get a personalized course generated by artificial intelligence for your goals and level of preparation. How does this work?

Immediately after registration, the neural network conducts a diagnostic: it asks questions about your experience, field of activity, and specific tasks. Based on the answers, an individual trajectory is formed. If you are an entrepreneur and want to protect a trademark for your AI startup, the emphasis will be on means of individualization and licensing. If you are a lawyer and want to delve into judicial practice on AI content, you will get more cases and procedural documents.

The training takes place in text format. The lessons are structured materials: theory, examples, practical assignments. The neural network explains complex legal constructs in simple language, provides analogies, and helps you understand the terminology. You can ask questions directly in the interface — the AI will answer and, if necessary, adjust the program.

Access to the materials is open 24/7. You learn at a convenient pace, return to the topics you need, and receive additional explanations. No deadlines and no schedule constraints.

This format is especially valuable for the topic of intellectual property, where legislation and practice change quickly. The neural network promptly incorporates current examples and references to recent court decisions into the lessons, something static video courses cannot afford to do.

Why AI Learning Is Modern and Effective

Traditional law courses often suffer from excessive theory and detachment from real tasks. AI learning on asibiont.com solves these problems:

• Adaptability. The neural network adjusts the difficulty and pace to the student. A beginner will get more basic explanations, while an experienced lawyer will get in-depth analysis of conflicts.
• Practice orientation. Each block is accompanied by assignments: draft a license agreement, check a trademark for uniqueness, prepare a claim. You learn from real examples.
• Feedback. The AI checks your answers, points out mistakes, and suggests corrections. It's like a personal mentor, only available at any time.
• Relevance. The knowledge base is updated, and the neural network generates examples based on the latest changes in the Civil Code of the Russian Federation and judicial practice.
• Time savings. You don't spend hours watching videos — you read concise, substantial texts and immediately apply the knowledge.

Research in education shows that personalized learning improves material retention. For example, a meta-analysis published in the journal Psychological Bulletin (2019) confirmed that adaptive learning strategies significantly improve outcomes compared with one-size-fits-all programs. The AI platform asibiont.com implements this principle in practice.

Who Will Benefit from the Course "Intellectual Property"

The course is designed for a broad audience:

• Entrepreneurs and startup founders. If you are creating a product using AI, you need to understand how to protect your developments and not infringe on others' rights. The course will help you build an IP strategy from scratch.
• Lawyers and patent attorneys. For professional development in the field of AI content and related rights. You will gain current knowledge about judicial practice and will be able to offer clients new services.
• Developers and data scientists. To know which licenses can be used for training data, how to formalize rights to code and models, and how to avoid claims from rights holders.
• Creators: designers, copywriters, musicians. If you use neural networks to generate content, it is important to understand what rights you acquire and how to monetize them.
• Marketers and content managers. For the lawful use of AI content in advertising and communications, including registering trademarks for new brands.

The course will be useful even for those who are just beginning to understand the topic: the neural network will explain basic concepts and gradually lead you to complex issues.

Practical Examples: How This Works in Real Life

Let's look at several scenarios discussed in the course.

Case 1: Generating a logo with a neural network. A startup commissions a designer to create a logo, and the designer uses Midjourney to create several options. The client chooses one, and the company registers it as a trademark. The question: does the designer have the right to remuneration? Can someone challenge the registration on the grounds that the image was generated by AI and is not protectable? The course examines how to properly formalize relations with the designer to minimize risks and what evidence of creative contribution needs to be collected.

Case 2: Licensing AI content. A company creates a library of images generated by a neural network and wants to sell licenses for their use. What terms should be included in the license agreement? How can you guarantee that the content does not infringe on third-party rights? The course provides ready-made templates and checklists.

Case 3: Patenting an algorithm. An IT company has developed a unique machine learning algorithm for recommendation systems. Can it be patented? In Russia, patent law does not extend to mathematical methods as such, but if the algorithm is implemented in a technical device and produces a technical result, a patent is possible. The course examines in detail the criteria of patentability and examples from Rospatent practice.

These and other examples help you see how the abstract norms of the Civil Code of the Russian Federation apply in specific situations.

Tools and Documents You Will Receive

The course "Intellectual Property" is not only knowledge but also materials ready for use:

• Samples of license agreements (exclusive and non-exclusive license, sublicense).
• Templates of patent applications for an invention and a utility model.
• Examples of statements of claim for infringement of copyright and trademark rights.
• Checklists for verifying counterparties and auditing IP in a company.
• Guides on formalizing rights to AI content.

All documents are drafted taking into account the requirements of 2026 and can be adapted to your tasks.

How to Start Learning

The course is available on the asibiont.com platform. To start, it is enough to register and launch the generation of the program. The neural network will ask a few questions and offer the first lesson. You will be able to immediately begin studying the topic and, if necessary, adjust the trajectory.

The training is fully text-based and accessible from any device. You choose the time and intensity yourself. The materials remain accessible, so you can return to them as needed.

Bottom Line: Protect Your Rights in the World of AI

Intellectual property has ceased to be the domain of narrow specialists. Today, everyone who creates content with the help of neural networks or uses AI in business must understand the legal aspects. The course "Intellectual Property" on asibiont.com provides exactly the knowledge and tools needed for confident work in 2026. You will learn to formalize rights to AI content, register trademarks, draft license agreements, and defend your interests in court.

Don't put it off — legal literacy today will become your competitive advantage tomorrow. Start learning on asibiont.com and build reliable protection for your intellectual assets.

Go to the course "Intellectual Property"