2021 Fall Conference – Center for Intellectual Property x Innovation Policy

C-IP2‘s Ninth Annual Fall Conference: Artificial Intelligence and Intellectual Property

On October 13-14, 2021, C-IP2 will host its Ninth Annual Fall Conference in person at George Mason University Antonin Scalia Law School in Arlington, Virginia. The conference will also be streamed virtually.

This conference will focus on Artificial Intelligence and Intellectual Property, covering the current state of the art in AI, and how specific types of intellectual property right (patent, copyright, etc.) interact with AI in some context (authorship of AI-generated works, changing inventive step analysis, data and text mining exceptions, deep fakes, etc.), along with topics relevant to multiple types of IPR (technology transfer, AI in IP administration, etc.).

Registration Opening Soon

8 Hours VA CLE Pending

WELCOME ADDRESS

PANEL 1: ARTIFICIAL INTELLIGENCE – CHALLENGES AND CONTROVERSIES

Lawmakers and regulators increasingly need to interact with issues surrounding law and technology but often without a consensus on what the technology is, how it operates, and what the risks and benefits are. Artificial intelligence in particular is often invoked in regulatory discussions but without clear understanding of what it can and cannot do. This panel will explore what AI can do now and what it may do in the future.

PANEL 2: THE ECONOMICS OF ARTIFICIAL INTELLIGENCE AND INTELLECTUAL PROPERTY

Artificial intelligence increasingly augments or automates human activity, but what impact will this have financially on industry and on society? This panel will discuss issues surrounding competition and market dominance including AI output displacing people and issues regarding future of work and tax policy.

THURSDAY, OCTOBER 14, 2021

PANEL 3: ARTIFICIAL INTELLIGENCE IN THE LIFE SCIENCES

Artificial intelligence has the potential to transform radically the way lifesaving products are developed and approved––from speeding up drug discovery and reducing costs associated with clinical testing to finding new uses for existing drugs using big data. This panel will explore whether and to what extent our system is set up to maximize AI’s potential in this industry.

PANEL 4: OWNING AI AND PROTECTING AI OUTPUT

What happens when you have artificial intelligence output without a traditional human author or inventor? A series of legal test cases have raised these challenges in jurisdictions around the world. This panel will discuss whether intellectual property protections are necessary or desirable for these outputs, as well as practical considerations for obtaining them. It will also discuss issues associated with intellectual property protection of AI itself.

LUNCH & KEYNOTE ADDRESS

PANEL 5: TRADEMARK LAW AND ARTIFICIAL INTELLIGENCE

Artificial intelligence has the potential to transform trademark law and practice by facilitating the generation of new brands and IP, changing the way we search for infringing and confusing activities, automating the role of the consumer, and changing the way that buyers engage with brands. This panel will explore the impact of this phenomenon on trademark law and how the law should respond.

PANEL 6: TECH POLICY IN ARTIFICIAL INTELLIGENCE

Regulators around the world are struggling with how to adopt human centric rules into frameworks that make sense for activity involving artificial intelligence. This panel will consider the state of regulatory advances, approaches, and developments in different jurisdictions and how society can deal with some of the overarching opportunities and challenges posed by AI.

CLOSING REMARKS & RECEPTION