Hardback
Research Handbook on Intellectual Property and Artificial Intelligence
This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law.
More Information
Critical Acclaim
Contributors
Contents
More Information
This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law.
The Handbook is divided into four thematic parts, beginning with topics that address the intersection of IP and AI broadly before focusing on issues associated with specific types of IP. Chapters tackle critical legal questions, from issues with protecting AI-generated output to the impact of AI on how trademarks are used, offering valuable lessons on technology regulation and how technological evolution will disrupt existing legal frameworks.
Scholars and students of intellectual property law and its intersections with AI and related technologies will find this Handbook ’s cutting-edge contributions to be a crucial read. Its guidance on the practical legal implications of technological advances will also be of interest to IP practitioners, as well as policymakers and regulators.
The Handbook is divided into four thematic parts, beginning with topics that address the intersection of IP and AI broadly before focusing on issues associated with specific types of IP. Chapters tackle critical legal questions, from issues with protecting AI-generated output to the impact of AI on how trademarks are used, offering valuable lessons on technology regulation and how technological evolution will disrupt existing legal frameworks.
Scholars and students of intellectual property law and its intersections with AI and related technologies will find this Handbook ’s cutting-edge contributions to be a crucial read. Its guidance on the practical legal implications of technological advances will also be of interest to IP practitioners, as well as policymakers and regulators.
Critical Acclaim
‘A book of impressive breadth and thoughtfully curated analyses of doctrinal and policy issues at the intersection of AI and Intellectual Property (IP). The Handbook illuminates challenges across all IP fields and exposes the fragile normative bases on which many of our extant laws depend. It is a must have and a “go to” for meaningful engagement with the complex questions regarding the regulation of AI and IP — both nationally and globally.’
– Ruth L. Okediji, Harvard Law School, US
– Ruth L. Okediji, Harvard Law School, US
Contributors
Contributors: Ryan Abbott, Ana Andrijevic, Tanya Aplin, Tatiana Aranovich, Richard Arnold, Woodrow Barfield, Shawn Bayern, Yaniv Benhamou, Enrico Bonadio, Karni Chagnal-Feferkorn, Trevor Cook, Carys J. Craig, Dennis Crouch, Jean-Marc Deltorn, Plamen Dinev, Giancarlo Frosio, Garry A. Gabison, Dev S. Gangjee, Daniel Gervais, Shubha Ghosh, Christie Kafrouni, Argyro Karanasiou, Alice Lee, Daryl Lim, Rita Matulionyte, Luke McDonagh, Benjamin Mitra-Kahn, Anke Moerland, Sean M. O''Connor, Michael D. Pendleton, Sharon K. Sandeen, Martin Senftleben, Noam Shemtov, Phoebe Woo
Contents
Contents:
PART I MULTI-SUBJECT
1 Artificial intelligence and intellectual property: an introduction 2
Ryan Abbott
2 The human cause 21
Daniel J. Gervais
3 Considering intellectual property law for embodied forms of artificial
intelligence 39
Woodrow Barfield, Argyro Karanasiou and Karni Chagnal-Feferkorn
4 AI replication of musical styles points the way to an exclusive rights regime 64
Sean M. O’Connor
5 The elusive intellectual property protection of trained machine learning
models: a European perspective 83
Jean-Marc Deltorn
6 An abject failure of intelligence: intellectual property and artificial intelligence 112
Michael D. Pendleton
PART II COPYRIGHT AND RELATED RIGHTS
7 The AI–copyright challenge: tech-neutrality, authorship, and the public interest 133
Carys J. Craig
8 Four theories in search of an A(I)uthor 155
Giancarlo Frosio
9 Copyright law should stay true to itself in the age of artificial intelligence 178
Alice Lee and Phoebe Woo
10 The protection of AI-generated pictures (photograph and painting)
under copyright law 197
Yaniv Benhamou & Ana Andrijevic
11 Performers’ rights and artificial intelligence 217
Richard Arnold
12 AIn’t it just software? 224
Shubha Ghosh
13 Can artificial intelligence infringe copyright? Some reflections 244
Enrico Bonadio, Plamen Dinev and Luke McDonagh
PART III TRADE MARKS AND DESIGNS
14 Computational trademark infringement and adjudication 258
Daryl Lim
15 Online shopping with artificial intelligence: what role for trade marks? 289
Anke Moerland and Christie Kafrouni
16 Trademark law, AI-driven behavioral advertising, and the Digital
Services Act: toward source and parameter transparency for consumers,
brand owners, and competitors 308
Martin Senftleben
17 A quotidian revolution: artificial intelligence and trade mark law 324
Dev S. Gangjee
18 The impact of AI on designs law 345
Trevor Cook
PART IV PATENTS AND TRADE SECRETS
19 Legal fictions and the corporation as an inventive artificial intelligence 355
Dennis Crouch
20 Economic reasons to recognise AI inventors 375
Benjamin Mitra-Kahn
21 Reverse engineering (by) artificial intelligence 390
Shawn Bayern
22 Trade secrets versus the AI explainability principle 404
Rita Matulionyte and Tatiana Aranovich
23 The inventive step requirement and the rise of the AI machines 422
Noam Shemtov and Garry A. Gabison
24 Trade secrecy, factual secrecy and the hype surrounding AI 442
Sharon K. Sandeen and Tanya Aplin
Index
PART I MULTI-SUBJECT
1 Artificial intelligence and intellectual property: an introduction 2
Ryan Abbott
2 The human cause 21
Daniel J. Gervais
3 Considering intellectual property law for embodied forms of artificial
intelligence 39
Woodrow Barfield, Argyro Karanasiou and Karni Chagnal-Feferkorn
4 AI replication of musical styles points the way to an exclusive rights regime 64
Sean M. O’Connor
5 The elusive intellectual property protection of trained machine learning
models: a European perspective 83
Jean-Marc Deltorn
6 An abject failure of intelligence: intellectual property and artificial intelligence 112
Michael D. Pendleton
PART II COPYRIGHT AND RELATED RIGHTS
7 The AI–copyright challenge: tech-neutrality, authorship, and the public interest 133
Carys J. Craig
8 Four theories in search of an A(I)uthor 155
Giancarlo Frosio
9 Copyright law should stay true to itself in the age of artificial intelligence 178
Alice Lee and Phoebe Woo
10 The protection of AI-generated pictures (photograph and painting)
under copyright law 197
Yaniv Benhamou & Ana Andrijevic
11 Performers’ rights and artificial intelligence 217
Richard Arnold
12 AIn’t it just software? 224
Shubha Ghosh
13 Can artificial intelligence infringe copyright? Some reflections 244
Enrico Bonadio, Plamen Dinev and Luke McDonagh
PART III TRADE MARKS AND DESIGNS
14 Computational trademark infringement and adjudication 258
Daryl Lim
15 Online shopping with artificial intelligence: what role for trade marks? 289
Anke Moerland and Christie Kafrouni
16 Trademark law, AI-driven behavioral advertising, and the Digital
Services Act: toward source and parameter transparency for consumers,
brand owners, and competitors 308
Martin Senftleben
17 A quotidian revolution: artificial intelligence and trade mark law 324
Dev S. Gangjee
18 The impact of AI on designs law 345
Trevor Cook
PART IV PATENTS AND TRADE SECRETS
19 Legal fictions and the corporation as an inventive artificial intelligence 355
Dennis Crouch
20 Economic reasons to recognise AI inventors 375
Benjamin Mitra-Kahn
21 Reverse engineering (by) artificial intelligence 390
Shawn Bayern
22 Trade secrets versus the AI explainability principle 404
Rita Matulionyte and Tatiana Aranovich
23 The inventive step requirement and the rise of the AI machines 422
Noam Shemtov and Garry A. Gabison
24 Trade secrecy, factual secrecy and the hype surrounding AI 442
Sharon K. Sandeen and Tanya Aplin
Index
