Answer first: The Irish Music Rights Organisation (IMRO), in collaboration with the Law Society of Ireland, hosted its second annual copyright lecture on February 16, 2021. Dr. Mark Hyland, IMRO Adjunct Professor of Intellectual Property Law, presented a comprehensive examination of the complex interplay between artificial intellig…
Patents context for IP teams
On February 16, 2021, the Irish Music Rights Organisation (IMRO) and the Law Society of Ireland jointly hosted their second annual copyright lecture, featuring Dr. Mark Hyland, IMRO Adjunct Professor of Intellectual Property Law and lecturer at the College of Business, Technological University Dublin. Dr. Hyland’s presentation, titled “The Complex Intersection between Copyright and Artificial Intelligence,” offered a detailed exploration of AI’s historical development, definitional challenges, and its implications for intellectual property rights (IPRs).
The concept of machines capable of thought dates back to ancient Greece, but pivotal moments in AI’s evolution occurred in the mid-20th century. In 1950, Alan Turing, an English mathematician and pioneer in theoretical computer science, published his seminal paper "Computing Machinery and Intelligence," which posed the question "Can machines think?" and introduced the Turing Test as a measure of machine intelligence. The term "artificial intelligence" was coined in 1955 within a research proposal by McCarthy, Minsky, Rochester, and Shannon, and gained prominence following the 1956 Dartmouth Summer Research Project on Artificial Intelligence, led by John McCarthy and Marvin Lee Minsky. This workshop marked AI’s emergence as a distinct research field.
Key takeaways for copyright and artificial intelligence
- Confirm how the development affects patents ownership, enforcement, licensing, or portfolio records.
- Separate confirmed facts from legal interpretation before advising business teams.
- Map deadlines, affected assets, contracts, and evidence files to the responsible internal owner.
- Use the issue as a prompt for monitoring, filing strategy, dispute preparation, or member education.
Practical analysis
AI is broadly recognized as a branch of computer science focused on developing machines and systems capable of performing tasks traditionally requiring human intelligence. However, as noted by the World Intellectual Property Organization (WIPO), no universally accepted definition exists. WIPO describes AI as aimed at creating machines that carry out tasks requiring human intelligence, often with limited or no human intervention. Machine learning and deep learning are subsets of AI, with recent advances in neural networks and hardware leading to AI’s frequent association with deep supervised machine learning.
The UK government defines AI as technologies that perform tasks necessitating human intelligence, such as visual perception, speech recognition, and language translation. This definition informed the UK Intellectual Property Office’s 2020 public consultation on AI and intellectual property. Similarly, the European Commission’s 2018 Communication "Artificial Intelligence for Europe" characterizes AI as systems exhibiting intelligent behavior by analyzing their environment and autonomously taking actions to achieve specific goals. These systems may be purely software-based, such as voice assistants and image analysis tools, or embedded in hardware like robots and autonomous vehicles.
Further refinement came from the European Commission’s High-Level Expert Group on Artificial Intelligence (HLEG) in 2019. Their paper defined AI systems as software and possibly hardware designed by humans to act in physical or digital realms by perceiving their environment, interpreting data, reasoning, and deciding optimal actions to meet complex goals. AI systems may use symbolic rules or numeric models and can adapt behavior based on environmental feedback.
WIPO’s Revised Issues Paper on Intellectual Property Policy and Artificial Intelligence (May 2020) distinguishes between "AI-generated" outputs—those produced autonomously by AI without human intervention—and "AI-assisted" outputs, which involve significant human direction. This distinction is critical in assessing intellectual property implications.
Acknowledging the definitional challenges, a recent European Commission report titled "Trends and Developments in Artificial Intelligence – Challenges to the Intellectual Property Rights Framework" cites AI as computer-based systems developed to mimic human behavior or perform tasks requiring human intelligence with minimal human input. The EU’s 2020 White Paper on AI emphasizes the need for flexible yet precise AI definitions in future legal instruments, highlighting data and algorithms as core components.
AI integration in hardware and software, especially through machine learning, involves algorithms trained on data to identify patterns and determine actions toward goals. These algorithms may continue learning post-deployment. The White Paper notes that while AI systems can act autonomously by perceiving their environment, their behavior remains largely constrained by human developers who set and program the objectives.
Intellectual property encompasses creations of the mind, including inventions, literary and artistic works, designs, symbols, and names used in commerce. Principal IPRs include patents (protecting inventions), trademarks (identifying goods or services), copyrights (protecting original works), and design rights (protecting aesthetic product aspects). These rights grant creators exclusive control over their creations for defined periods.
Dr. Hyland highlighted the significant commonalities between AI and IP: both are pervasive, intrinsically linked to innovation, and vital to the Irish economy. However, their interface is complex and fraught with tensions, especially as AI technologies, powered by big data, drive the Fourth Industrial Revolution (4IR).
The 4IR builds upon the transformative impacts of the first three industrial revolutions—from mechanization via the steam engine, through electrification and mass production, to the digital revolution initiated in the 1950s. Distinguished by rapid technological breakthroughs and widespread disruption, the 4IR is reshaping society and industries at an unprecedented pace, with AI at its core.
Dr. Hyland’s lecture underscored the evolving challenges AI poses to the intellectual property framework and the necessity for adaptive legal approaches that balance innovation incentives with technological progress. The insights provided are particularly relevant for policymakers, legal practitioners, and stakeholders navigating the intersection of AI and copyright in Ireland and beyond.
Related IIPLA reading
IMRO Explores the Intricate Relationship Between Copyright and Artificial Intelligence in 2021 Lecture The Irish Music Rights Organisation (IMRO), in collaboration with the Law Society of Ireland, hosted its second annual copyright lecture on February 16, 2021. Dr. Mark Hyland, IMRO Adjunct Professor of Intellectual Prop... Read the full IIPLA blog post: https://iipla.org/blog/imro-explores-the-intricate-relationship-between-copyright-and-artificial-intelligence-in-2021-lecture