Artificial Intelligence and Intellectual Property

Artificial intelligence (Al) is increasingly driving important developments in technology and business. It is being employed across a wide range of industries with impact on almost every aspect of the creation. The availability of large amounts of training data and advances in affordable high computing power are fueling Al's growth. Al intersects with intellectual property (IP) in a number of ways.

Tenth session of the WIPO Conversation on "Generative AI-IP and Outputs"

AI is rapidly transforming the creative and innovative industries, driving economic progress while sparking debates about its impact on human creativity. As AI tools become increasingly adept at generating content, the key question is whether AI poses a threat to human creators or serves as a valuable collaborator. The IP field, is grappling with the "output problem"—whether AI-generated content should be eligible for copyright protection. Furthermore, the rise in AI-generated deepfakes has also resulted in broader IP questions around voice and image rights while some experts have even advocated for a new kind of IP right! 

The tenth session of the WIPO Conversation “Generative AI: IP and Output” offered a platform for stakeholders to explore these critical issues.

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Ninth session of the WIPO Conversation on "Training the Machines – Bytes, Rights and the Copyright Conundrum"

Artificial Intelligence (AI) is accelerating technological progress, revolutionizing industries, and reshaping the way we interact with each other and the information around us. Advances in AI models, especially large language models, and GenAI, are revolutionizing many areas of our lives and proving to be a powerful tool for how we innovate and create.

Training data is central to the success of all current AI systems. The quality of data directly influences the performance and reliability of AI systems across various applications, and access to diverse training data is also one of the important safeguards against AI bias.

A great proportion of the training data currently used by large language models is collected from publicly available sources, for example, by scaping the Internet. The data sets often contain works such as text, images, designs, and music, which are copyright protected.

The ninth session of the WIPO Conversation provided a platform for deep exploration, aiming to understand the multifaceted relationship between training data and IP. By evaluating current practices, proposing practical solutions, and envisioning future directions, this session fostered a holistic understanding of the impact of training data on the IP landscape.

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Eighth session of the WIPO Conversation on GenAI and IP

With the ability to create novel and realistic content such as images, music, and even text, GenAI has the potential to revolutionize multiple industries, including creation of music, images, and other forms of content. GenAI impacts innovation and creation and thus raises diverse IP questions, such as how IP can protect AI models, the interrelationship between data input and the questions around IP protection for AI output.

The Eighth Session of the WIPO Conversation sought to bring together all stakeholders to discuss these important issues, to help establish best practices for the protection of creative works in the digital age, and to provide a map for navigating the challenges brought to the copyright system by GenAI.

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