Poorhashemi’s Artificial intelligence and the future of international law is an insightful and comprehensive examination of the profound ways artificial intelligence (AI) is transforming the framework of international law. This short book brings together interdisciplinary perspectives to explore how AI is reshaping core legal domains, including human rights, trade, and arbitration. As AI technologies advance at an unprecedented pace, this book serves as an essential resource for scholars, policymakers, and practitioners aiming to navigate the complex intersection of AI and international legal systems.

AI’s rapid development has raised questions about its ethical use, regulation, and implications for human rights, trade, and global governance. Poorhashemi’s book is particularly timely, addressing these concerns with precision and academic rigor. The work not only highlights the opportunities AI brings to the legal realm, but also underscores the urgent need to address potential risks and ethical dilemmas associated with its adoption.

The book delves into several critical areas where AI intersects with international law:

• Human rights and privacy concerns: AI-powered surveillance and data collection technologies have profound implications for privacy rights and personal freedoms. Poorhashemi’s analysis highlights the tension between the benefits of AI in law enforcement and national security and the potential erosion of fundamental rights. The book explores whether existing human rights frameworks are equipped to handle AI-induced challenges or if new norms and regulations are required.
• AI in international criminal justice: the use of AI in investigations, evidence collection, and even predictive analytics in criminal justice introduces both opportunities and risks. The book discusses AI’s potential to enhance the efficiency and fairness of international criminal tribunals while cautioning against the risks of bias and misuse.
• Global trade and economic disparities: AI’s impact on global trade law is another key focus. The technology has transformed trade through predictive algorithms, automated supply chains, and data-driven decision-making. However, this transformation raises questions about fairness, intellectual property rights, and the digital divide between nations with advanced AI capabilities and those without.
• Arbitration and dispute resolution: as AI increasingly mediates contractual and trade disputes, it challenges traditional notions of fairness, neutrality, and accountability in arbitration. The book discusses the role of AI in streamlining arbitration processes and whether AI systems can or should replace human arbitrators.

One of the book’s strengths is its interdisciplinary approach. By incorporating perspectives from law, technology, ethics, and policy, it offers a holistic understanding of AI’s implications for international law. Poorhashemi, as the editor, draws on contributions from a diverse group of experts, ensuring that the book is both thorough and balanced.

While the text is academic in tone, it remains accessible, making complex legal and technological concepts understandable to a broad audience. For policymakers and legal practitioners, the book provides actionable insights into how AI can be integrated into existing legal systems without compromising justice and equity.

This book is a good read for anyone interested in the intersection of AI and global governance. By addressing pressing issues such as privacy, justice, economic equity, and ethical governance, the book provides a roadmap for understanding and addressing the challenges AI poses to international law.

As AI continues to shape the legal landscape, this book serves as a vital resource, equipping readers with the knowledge and tools to navigate a rapidly changing world. Whether you are a legal scholar, a policymaker, or a technology enthusiast, this book offers valuable insights into the evolving relationship between AI and the rule of law. It challenges us to rethink traditional legal frameworks, including how to adapt them to meet the demands of an AI-driven future.