Rouse, 2024.

Legal contentions surround the fair use of copyright materials for training AI models. The question of whether AI-generated content can be copyright protected – often for marketing use – is under debate too. We look at the current status in some of Rouse’s main markets.

WIPO Conversation: IP and Frontier Technologies, World Intellectual Property Organization (WIPO), 2024.

The impact of artificial intelligence (AI) on the patent system is significant and ongoing. Advancements in machine learning, natural language processing and robotics are reflected in an increasing number of patent applications filed for AI-related inventions. AI may contribute to the inventive process by generating ideas and improving efficiency, raising questions about its role in the inventive process and the DABUS cases highlight the need for clear interpretation of the term "inventor."

Rouse, 2024.

In our earlier note, we discussed the computational analysis provision (under the Singapore Copyright Act) as a specific defense to machine learning. In this article, we examine whether the fair use provision of the Singapore Copyright Act may also be available.

Economic Research Working Paper No.77, World Intellectual Property Organization (WIPO), 2024.

The emergence of Artificial Intelligence (AI) has profound implications for intellectual property (IP) frameworks. While much of the discussion so far has focused on the legal implications, we focus on the economic dimension. We dissect AI's role as both a facilitator and disruptor of innovation and creativity. Recalling economic principles and reviewing relevant literature, we explore the evolving landscape of AI innovation incentives and the challenges it poses to existing IP frameworks. From patentability dilemmas to copyright conundrums, we find that there is a delicate balance between fostering innovation and safeguarding societal interests amidst rapid technological progress. We also point to areas where future economic research could offer valuable insights to policymakers.

UN Trade and Development, in: Creative Economy Outlook 2024, United Nations, 2024.

The chapter examines how creative industries adopted digitalization and artificial intelligence and how this is transforming the creative economy. Creative products are produced, distributed and consumed differently in a digital world powered by artificial intelligence. In this context, creative work can be more costefficient and reach a wider audience. This new reality entails essential policy challenges and responses in the creative economy. For example, these technologies raise concerns about quality, appropriation, copyright protection and compensation, homogenisation, privacy, consumer and data protection, and monopolisation of content. These challenges are a development issue, including the fact that several developing countries are lagging due to gaps in infrastructure, digital environment, skills, research and development capabilities, and regulations.

World Intellectual Property Organization (WIPO), 2024.

Generative artificial intelligence (AI) tools are rapidly being adopted by many businesses and organizations for the purpose of content generation. Such tools represent both a substantial opportunity to assist business operations and a significant legal risk due to current uncertainties, including intellectual property (IP) questions.

WIPO Conversation: IP and Frontier Technologies, World Intellectual Property Organization (WIPO), 2024.

Generative artificial intelligence (AI) has the potential to disrupt every industry and many parts of our lives – promising both competitive advantage and creative destruction. But how creative and imaginative is generative AI, what are the potential implications for human creators and how do we ensure that the IP system continues to foster innovation and creativity in the age of AI?

World Intellectual Property Organization (WIPO), 2024.

As AI technologies evolve at an exponential pace there are many questions and challenges for IP and the IP system. The purpose of this IP policy toolkit is to provide policymakers with a framework to understand the state of play of AI innovation right now and to think about the future as AI becomes increasingly autonomous.

Lorenz, P., K. Perset and J. Berryhill, OECD Artificial Intelligence Papers, No. 1, OECD Publishing, 2023.

Generative artificial intelligence (AI) creates new content in response to prompts, offering transformative potential across multiple sectors such as education, entertainment, healthcare and scientific research. However, these technologies also pose critical societal and policy challenges that policy makers must confront: potential shifts in labour markets, copyright uncertainties, and risk associated with the perpetuation of societal biases and the potential for misuse in the creation of disinformation and manipulated content. Consequences could extend to the spreading of mis- and disinformation, perpetuation of discrimination, distortion of public discourse and markets, and the incitement of violence. Governments recognise the transformative impact of generative AI and are actively working to address these challenges. This paper aims to inform these policy considerations and support decision makers in addressing them.

World Intellectual Property Organization (WIPO), 2024.

Generative AI is booming. It is a cutting-edge technology that is poised to disrupt various economic, social, and cultural sectors, and it extends far beyond simple human-like text generation using chatbots. Drawing on original analysis of patent and scientific data, the WIPO patent landscape report on Generative AI provides a snapshot of the patent situation for GenAI.

Rouse, 2024.

Artificial intelligence (AI) has gained widespread recognition in recent years, becoming a household name. Its broad influence has reached across industries worldwide, extending to various legal fields including trade mark law.

Intellectual Property Office of Singapore, 2024.

Rapid advancement in artificial intelligence (AI), and the mass uptake of generative AI in the past year, are raising a number of issues at the interface with intellectual property (IP) law—including some that go to the heart of the conceptual framework underlying IP, which matured in the early modern period in a very different technological context. This Landscape Report (Report) offers a comparative study of the global landscape, surveying recent developments and presenting an illustrative view of the evolving approach of the major legal systems on key issues such as the recognition of AI systems in inventorship and authorship, the impact of AI-generated creations on traditional IP categories, and the evolving nature of IP infringement in the age of AI.