Artificial Intelligence (AI) models – such as ChatGPT, Google Gemini, and others – are transforming the business landscape, providing powerful tools for process automation, content creation, and large-scale data analysis. However, since AI models are trained using works, texts, and images created by humans, their use raises fundamental questions about copyright ownership and the protection of creative works.
This article explores the key challenges and opportunities related to Intellectual Property (IP) in the context of Artificial Intelligence and offers best practices for companies to innovate while ensuring legal security and avoiding litigation.
AI and business innovation: Creating content with data and human collaboration
Consider a marketing agency using Artificial Intelligence tools to generate texts or images based on previous campaign files. Or a tech company developing a customer support chatbot trained with real conversations between agents and clients. In both cases, the collaboration between human creativity and AI algorithms is evident – but so are the uncertainties about who holds the rights to use and commercially exploit the resulting outputs.
To prevent AI usage from becoming a source of legal disputes, organizations should establish clear contracts and internal policies that define ownership over content provided by employees or partners. These agreements should also address the reuse of texts, photos, videos, and illustrations in AI model training, mitigating potential claims of unauthorized use of original works in the future.
Ownership of AI-generated creations: Who holds the rights?
The legal discussion around authorship in AI-generated or AI-assisted works remains a prominent issue. In many jurisdictions, a work created exclusively by an IA system does not meet the requirement of human creativity necessary for copyright recognition. In Brazil, the Copyright Law (Law nº 9.610/98) states that authorship can only be attributed to natural persons, reinforcing that purely IA system creations are not protected under copyright law.
On the other hand, when an individual plays an active role – whether by defining the style, providing specific inputs, or curating the AI-generated result – the human contribution may qualify the work for protection. To secure legal backing for copyright registration or rights claims, it is crucial to document and register the creative intervention of the responsible individual.
Additionally, if the dataset used for Artificial Intelligence training includes third-party copyrighted works, it is necessary to verify whether there is a valid license or permission for their use. This issue is particularly critical when AI models rely on vast amounts of text or images sourced from online repositories, as improper use could result in copyright infringement claims.
The importance of contracts and internal policies
To avoid disputes over the ownership of AI-generated content, businesses must adopt well-structured contracts and clear internal policies:
- Assignment and licensing of rights: Employment or service agreements should specify the rights of use and commercial exploitation of creations produced by employees or partners, including their use for AI training.
- Definition of authorship and ownership: Internal policies should clarify when employee contributions qualify as creative input and how authorship will be recognized in AI-assisted works.
- Liability for violations: If an AI system incorporates or relies on copyrighted materials without proper authorization, who will be held legally and financially responsible? Contracts should address this issue to protect all parties involved.
- Confidentiality policies: Content generated or collected during AI training may contain sensitive company information or confidential client data. It is essential to have confidentiality agreements in place to safeguard these assets.
Personal data and AI training: compliance with data protection laws
While this article primarily focuses on copyright and IP concerns, it is essential to acknowledge the impact of data protection laws, such as Brazilian General Data Protection Law (LGPD), on Artificial Intelligence training practices. If datasets include personally identifiable information – such as purchase histories or customer service records – companies must follow key principles:
- Legal basis: Ensure proper consent or legitimate interest justifies data processing.
- Transparency: Inform data subjects about how their information is used, including its role in AI training.
- Security: Implement measures to protect personal data from unauthorized access.
Although the primary concerns in Artificial Intelligence and Intellectual Property revolve around ownership and licensing, compliance with data protection laws ensures that AI strategies are implemented without exposing businesses to legal risks related to privacy and data protection.
Protecting creations and ensuring legal compliance: key measures for businesses
To leverage the benefits of Artificial Intelligence without encountering Intellectual Property challenges, companies can take the following practical steps:
- Asset inventory: Identify all contents – texts, images, databases, code – used in AI training. Ensure the company owns these materials or has obtained formal third-party authorizations.
- Well-structured contracts: Include clauses explicitly covering copyright assignment, licensing, and data usage. Define whether AI-generated outputs are included in the agreement.
- Audits and compliance checks: Conduct periodic reviews to detect potential copyright infringements and confirm that AI models are trained using legally obtained materials.
- Authorship documentation: Keep internal records detailing human contributions to AI-assisted creations. This documentation can be crucial in case of disputes over ownership.
- Intellectual Property planning: In some cases, registering software, trademarks, or patents related to AI applications may strengthen the company’s position in legal disputes or negotiations.
The benefits of a proactive Intellectual Property strategy for Artificial Intelligence
Companies that proactively address AI-related IP issues enjoy several advantages:
- Risk mitigation: Copyright infringement claims can be costly and damage corporate reputation, especially in competitive industries.
- Enhanced reputation: Commitment to IP best practices and data protection fosters trust among clients and business partners, creating new growth opportunities.
- Sustainable innovation: Legal security allows organizations to explore cutting-edge technologies while empowering their teams to innovate without fear of legal complications.
The value of specialized legal counsel
Staying informed about Artificial Intelligence and Intellectual Property developments requires ongoing monitoring of legislation and case law. Many nuances in assignment of rights by contract, content licensing agreements, and industry regulations can be overlooked, exposing businesses to significant risks.
This is why specialized legal counsel in Intellectual Property and innovation makes a difference. Our firm is ready to support your company in structuring IP policies, refining contracts, and defining legal strategies to ensure the secure and lawful implementation of AI solutions.
Contact us at riccipi.com.br to schedule a consultation. Let’s work together to establish best practices for your business, ensuring innovation with legal security, protection of intangible assets, and a competitive edge in the market.
