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Research Exceptions In Comparative Copyright Law, Sean Flynn, Michael Palmedo, Andrés Izquierdo Nov 2021

Research Exceptions In Comparative Copyright Law, Sean Flynn, Michael Palmedo, Andrés Izquierdo

Joint PIJIP/TLS Research Paper Series

Recent scholarship has highlighted the positive impact on scholarship of copyright exceptions for text and data mining and of more “open” exceptions for research uses. Until now, however, there has not been a collection and categorization of the world’s copyright laws according to the degree to which they provide exceptions for research. In this report, we release the results of the first such study. We show that every copyright law in the world has at least one exception to promote research uses of copyrighted works, but that such exceptions vary widely between countries. We conclude that the world’s exceptions for …


Submission To Canadian Government Consultation On A Modern Copyright Framework For Ai And The Internet Of Things, Sean Flynn, Lucie Guibault, Christian Handke, Joan-Josep Vallbé, Michael Palmedo, Carys J. Craig, Michael Geist, João Quintais Sep 2021

Submission To Canadian Government Consultation On A Modern Copyright Framework For Ai And The Internet Of Things, Sean Flynn, Lucie Guibault, Christian Handke, Joan-Josep Vallbé, Michael Palmedo, Carys J. Craig, Michael Geist, João Quintais

Testimony and Submissions

We are grateful for the opportunity to participate in the Canadian Government’s consultation on a modern copyright framework for AI and the Internet of Things. Below, we present some of our research findings relating to the importance of flexibility in copyright law to permit text and data mining (“TDM”). As the consultation paper recognizes, TDM is a critical element of artificial intelligence. Our research supports the adoption of a specific exception for uses of works in TDM to supplement Canada’s existing general fair dealing exception.

Empirical research shows that more publication of citable research takes place in countries with “open” …


The Missing Goal-Scorers In The Artificial Intelligence Team: Of Big Data, The Fundamental Right To Research And The Failed Text And Data Mining Limitations In The Csdm Directive, Christophe Geiger Apr 2021

The Missing Goal-Scorers In The Artificial Intelligence Team: Of Big Data, The Fundamental Right To Research And The Failed Text And Data Mining Limitations In The Csdm Directive, Christophe Geiger

Joint PIJIP/TLS Research Paper Series

This article argues that recent strategies of the European Union in the field of Artificial Intelligence (AI) resemble a football team missing a goal-scorer to win any of the competitions with other jurisdictions having more flexible limitations to copyright, in particular with those allowing robust text and data mining (TDM) activities. It analyses the TDM limitations newly introduced in EU copyright law by the Directive on Copyright in the Digital Single Market to show that these provisions not only fail to take duly into account the right to research grounded in the fundamental right to information, but also will not …


Medical Device Artificial Intelligence: The New Tort Frontier, Charlotte A. Tschider Jan 2021

Medical Device Artificial Intelligence: The New Tort Frontier, Charlotte A. Tschider

Faculty Publications & Other Works

The medical device industry and new technology start-ups have dramatically increased investment in artificial intelligence (AI) applications, including diagnostic tools and AI-enabled devices. These technologies have been positioned to reduce climbing health costs while simultaneously improving health outcomes. Technologies like AI-enabled surgical robots, AI-enabled insulin pumps, and cancer detection applications hold tremendous promise, yet without appropriate oversight, they will likely pose major safety issues. While preventative safety measures may reduce risk to patients using these technologies, effective regulatory-tort regimes also permit recovery when preventative solutions are insufficient.

The Food and Drug Administration (FDA), the administrative agency responsible for overseeing the …


Legal Opacity: Artificial Intelligence’S Sticky Wicket, Charlotte A. Tschider Jan 2021

Legal Opacity: Artificial Intelligence’S Sticky Wicket, Charlotte A. Tschider

Faculty Publications & Other Works

Proponents of artificial intelligence (“AI”) transparency have carefully illustrated the many ways in which transparency may be beneficial to prevent safety and unfairness issues, to promote innovation, and to effectively provide recovery or support due process in lawsuits. However, impediments to transparency goals, described as opacity, or the “black-box” nature of AI, present significant issues for promoting these goals.

An undertheorized perspective on opacity is legal opacity, where competitive, and often discretionary legal choices, coupled with regulatory barriers create opacity. Although legal opacity does not specifically affect AI only, the combination of technical opacity in AI systems with legal opacity …


Submission To Canadian Government Consultation On A Modern Copyright Framework For Ai And The Internet Of Things, Sean Flynn, Lucie Guibault, Christian Handke, Joan-Josep Vallbé, Michael Palmedo, Carys Craig, Michael Geist, Joao Pedro Quintais Jan 2021

Submission To Canadian Government Consultation On A Modern Copyright Framework For Ai And The Internet Of Things, Sean Flynn, Lucie Guibault, Christian Handke, Joan-Josep Vallbé, Michael Palmedo, Carys Craig, Michael Geist, Joao Pedro Quintais

Reports & Public Policy Documents

We are grateful for the opportunity to participate in the Canadian Government’s consultation on a modern copyright framework for AI and the Internet of Things. Below, we present some of our research findings relating to the importance of flexibility in copyright law to permit text and data mining (“TDM”). As the consultation paper recognizes, TDM is a critical element of artificial intelligence. Our research supports the adoption of a specific exception for uses of works in TDM to supplement Canada’s existing general fair dealing exception.

Empirical research shows that more publication of citable research takes place in countries with “open” …


A Modern Copyright Framework For Artificial Intelligence: Ip Scholars' Joint Submission To The Canadian Government Consultation, Carys Craig, Bita Amani, Sara Bannerman, Céline Castets-Renard, Pascale Chapdelaine, Lucie Guibault, Gregory R. Hagen, Cameron J. Hutchison, Ariel Katz, Alexandra Mogyoros, Graham Reynolds, Anthony D. Rosborough, Teresa Scassa, Myra Tawfik Jan 2021

A Modern Copyright Framework For Artificial Intelligence: Ip Scholars' Joint Submission To The Canadian Government Consultation, Carys Craig, Bita Amani, Sara Bannerman, Céline Castets-Renard, Pascale Chapdelaine, Lucie Guibault, Gregory R. Hagen, Cameron J. Hutchison, Ariel Katz, Alexandra Mogyoros, Graham Reynolds, Anthony D. Rosborough, Teresa Scassa, Myra Tawfik

Reports & Public Policy Documents

In response to the Canadian government consultation process on the modernization of the copyright framework launched in the summer 2021, we hereby present our analysis and recommendations concerning the interaction between copyright and artificial intelligence (AI). The recommendations herein reflect the shared opinion of the intellectual property scholars who are signatories to this brief. They are informed by many combined decades of study, teaching, and practice in Canadian and international intellectual property law.

In what follows, we explain:
- The importance of approaching the questions raised in the consultation with a firm commitment to maintaining the appropriate balance of rights …


The Integration Of Artificial Intelligence In The Intelligence Community: Necessary Steps To Scale Efforts And Speed Progress, Corin R. Stone Jan 2021

The Integration Of Artificial Intelligence In The Intelligence Community: Necessary Steps To Scale Efforts And Speed Progress, Corin R. Stone

Joint PIJIP/TLS Research Paper Series

No abstract provided.