Generative AI and Copyright Issues: General Overview and Considerations from the Perspective of AI Ignorance Ethics
Overview of Copyright Issues Caused by Generative AI
The 'generative AI' in the narrow sense commonly used in Japan is a technology that automatically generates content such as images, music, and text. Whether these AI-generated contents are protected under copyright law and intellectual property regulations is a subject of much debate. In particular, when generative AI creates new works by referencing works by human creators, issues of copyright infringement can arise.
The Spread of Misunderstandings Regarding Generative AI
Because misunderstandings regarding generative AI are prone to occur within Japan, the author attempts to grasp it from the perspectives of 'generative AI in the narrow sense' and 'generative AI in the broad sense'. 'Generative AI in the broad sense,' which is its original meaning, differs from the generative AI that many people imagine. It refers to systems that learn from given datasets and generate new information or content based on that data, not only in text, images, video, and sound, but also in drug discovery, molecular design, drug prediction, side effect prediction, compound prediction (new materials), design, parts optimization (optimization of materials and shapes, etc.), and operational testing.
Causes of Copyright Issues Caused by Generative AI
1. Unlike human creators, AI is not a legal entity, so the application of copyright protection to works generated by AI is ambiguous. 2. Because AI references and learns from existing works by human creators to generate new works, issues of copyright infringement may arise. 3. Because generative AI technology is evolving rapidly, the fact that current copyright laws are not keeping up is also one of the causes.
Differences in Copyright Regarding Generative AI Between Japan and Overseas
There are differences in how copyright regarding generative AI is handled between Japan and overseas. In Japan, current copyright law does not stipulate clear copyright protection for works generated by AI. On the other hand, in the United States, new guidance on AI-generated content was announced in 2023, and copyright protection for AI-assisted works has become recognized. However, AI itself is not recognized as an author, and protection is applied only to works created by human creators using AI.
Future Prospects and Countermeasures
To address the copyright issues of generative AI, the following measures are required.
1. Development of Legal Frameworks:
It is necessary to review the copyright and intellectual property laws of each country and develop legal frameworks that can accommodate works by generative AI. This includes the formulation of international rules and guidelines regarding generative AI.
2. Technical Countermeasures:
Developers of generative AI should consider technical measures to prevent copyright infringement. For example, methods to appropriately manage the data that AI references and minimize the risk of copyright infringement can be considered.
3. Ethical AI Development:
It is important for generative AI developers to follow the principles of ethical AI development and respect rights such as intellectual property and privacy. Specifically, it is necessary to consider concerns regarding copyright and privacy in the AI development process and take appropriate measures. 4. Education and Awareness Activities:
General users, companies, and government agencies are required to deepen their understanding of the copyright issues of generative AI and learn appropriate usage methods. It is important to raise awareness about generative AI throughout society through education and awareness activities. With the spread of generative AI, copyright issues are expected to become increasingly complex. Therefore, multifaceted approaches such as the development of legal frameworks, technical countermeasures, ethical AI development, and education and awareness activities will be required. Through these efforts, it is important to utilize the benefits of generative AI while reducing its potential risks. Copyright Issues Caused by Complex 'Ignorance'
From the perspective of AI ignorance ethics, when considering copyright issues related to generative AI, it is important to understand how AI technology and ethical issues are related. Ignorance related to generative AI can be considered a cause of copyright issues. Below are the copyright issues caused by various types of ignorance regarding generative AI.
1. Functional Ignorance of AI: If developers and users of generative AI do not fully understand how AI generates works, it becomes difficult to prevent copyright infringement in advance. This functional ignorance can be thought to stem from a lack of understanding regarding the extent to which generative AI references and learns from existing copyrighted works to generate new works.
2. Legal Ignorance: If knowledge of copyright law and intellectual property law regarding generative AI is insufficient, appropriate use of generative AI and prevention of copyright infringement become difficult. Legal ignorance is caused by developers and users not grasping the scope and requirements of copyright protection for works by generative AI.
3. Ethical Ignorance:
If developers and users of generative AI do not fully understand the relationship between AI technology and ethical issues, the risk of copyright infringement by generative AI increases. Ethical ignorance can be thought to stem from a lack of awareness about the importance of respecting copyright and intellectual property rights when using generative AI. For these types of ignorance to cause copyright issues related to generative AI, the following measures are necessary.
1. AI Education:
It is important for developers and users to understand the functions and limitations of generative AI. This requires education and training regarding AI technology.
2. Dissemination of Legal Knowledge:
It is important to spread knowledge of copyright law and intellectual property law regarding generative AI. This requires awareness activities and education on related laws and regulations. 3. Ethical Education and Formulation of Guidelines:
To address ethical issues related to generative AI, ethical education for developers and users is important. It is also effective to formulate and disseminate ethical guidelines that should be followed when using generative AI. 4. Technical Countermeasures:
It is required to take technical measures to prevent copyright infringement in the algorithms and design of generative AI. For example, it is conceivable to implement check functions to ensure that generative AI does not use copyrighted material and that generated works are not similar to existing copyrighted works.
5. International Cooperation: Because copyright issues regarding generative AI are occurring on an international scale, it is important for countries to cooperate to address the issues. It is required to advance efforts toward the formulation of international legal frameworks and ethical guidelines. To address copyright issues caused by ignorance regarding generative AI, it is necessary for developers and users to acquire technical, legal, and ethical knowledge and take appropriate measures. It is also important to develop an environment where the use of generative AI becomes sustainable and ethical through international cooperation.