This book explores the evolving landscape of international intellectual property (IP) protection in the contemporary age of artificial intelligence (AI). María Vásquez Callo-Müller revisits the legal standards for IP protection outlined in multilateral treaties, analyzing how these address key regulatory challenges posed by AI, primarily data access for AI training and the need for transparency in AI systems.Focusing on copyright and trade secrets, Vásquez Callo-Müller presents a detailed mapping and interpretation of key international IP commitments. She furthermore evaluates trends in preferential trade agreements, highlighting their potential effects on domestic IP policies, addressing a gap in current IP research. Chapters also confront issues beyond the IP realm, namely the regulation of the non-disclosure of source code in digital trade. The book provides a roadmap for understanding how the current international IP framework interacts with the needs of future AI governance, identifying the steps necessary to foster forward-thinking regulatory policies.This book is an essential read for scholars and students of IP, international law and digital trade. It is also highly beneficial for policymakers interested in understanding how the field of international IP can shape AI governance.

This book explores the evolving landscape of international intellectual property (IP) protection in the contemporary age of artificial intelligence (AI). Maria Vasquez Callo-Muller revisits the legal standards for IP protection outlined in multilateral treaties, analyzing how these address key regulatory challenges posed by AI, primarily data access for AI training and the need for transparency in AI systems.Focusing on copyright and trade secrets, Vasquez Callo-Muller presents a detailed mapping and interpretation of key international IP commitments. She furthermore evaluates trends in preferential trade agreements, highlighting their potential effects on domestic IP policies, addressing a gap in current IP research. Chapters also confront issues beyond the IP realm, namely the regulation of the non-disclosure of source code in digital trade. The book provides a roadmap for understanding how the current international IP framework interacts with the needs of future AI governance, identifying the steps necessary to foster forward-thinking regulatory policies.This book is an essential read for scholars and students of IP, international law and digital trade. It is also highly beneficial for policymakers interested in understanding how the field of international IP can shape AI governance.

This book explores the evolving landscape of international intellectual property (IP) protection in the contemporary age of artificial intelligence (AI). María Vásquez Callo-Müller revisits the legal standards for IP protection outlined in multilateral treaties, analyzing how these address key regulatory challenges posed by AI, primarily data access for AI training and the need for transparency in AI systems.Focusing on copyright and trade secrets, Vásquez Callo-Müller presents a detailed mapping and interpretation of key international IP commitments. She furthermore evaluates trends in preferential trade agreements, highlighting their potential effects on domestic IP policies, addressing a gap in current IP research. Chapters also confront issues beyond the IP realm, namely the regulation of the non-disclosure of source code in digital trade. The book provides a roadmap for understanding how the current international IP framework interacts with the needs of future AI governance, identifying the steps necessary to foster forward-thinking regulatory policies.This book is an essential read for scholars and students of IP, international law and digital trade. It is also highly beneficial for policymakers interested in understanding how the field of international IP can shape AI governance.

This book explores the evolving landscape of international intellectual property (IP) protection in the contemporary age of artificial intelligence (AI). Maria Vasquez Callo-Muller revisits the legal standards for IP protection outlined in multilateral treaties, analyzing how these address key regulatory challenges posed by AI, primarily data access for AI training and the need for transparency in AI systems.Focusing on copyright and trade secrets, Vasquez Callo-Muller presents a detailed mapping and interpretation of key international IP commitments. She furthermore evaluates trends in preferential trade agreements, highlighting their potential effects on domestic IP policies, addressing a gap in current IP research. Chapters also confront issues beyond the IP realm, namely the regulation of the non-disclosure of source code in digital trade. The book provides a roadmap for understanding how the current international IP framework interacts with the needs of future AI governance, identifying the steps necessary to foster forward-thinking regulatory policies.This book is an essential read for scholars and students of IP, international law and digital trade. It is also highly beneficial for policymakers interested in understanding how the field of international IP can shape AI governance.