The Intersection of Law and Artificial Intelligence

The Intersection of Law and Artificial Intelligence is a cross-disciplinary handbook that brings legal analysis to the technical, ethical and policy challenges of modern AI. Beginning with accessible primers on machine learning, NLP and autonomous systems, the book maps technological features to legal risks—data protection obligations, automated decision-making transparency, and evidence admissibility in courts. It compares regulatory models (the EU’s risk-based AI Act, sectoral approaches in other jurisdictions and international soft law), and presents a robust analysis of liability: product liability, developer/integrator responsibility, and models for strict, vicarious and shared liability. Intellectual property chapters evaluate patentability and authorship issues for AI-generated works, trade-secret strategies and licensing pitfalls. Practical modules address GDPR compliance, right-to-erasure, algorithmic impact assessments, explainability (XAI) requirements, auditing and vendor due diligence. Application-focused sections cover predictive policing, healthcare AI, autonomous vehicles and financial robo-advice—each with case studies, legal tests and mitigation checklists. The final chapters offer policy recommendations for international harmonization, standards adoption and future challenges (quantum AI, governance of foundation models). Combining legal doctrine with technical clarity and actionable compliance tools, this volume is both a classroom resource and a practical manual for counsel, regulators, compliance teams and technologists navigating AI’s complex regulatory landscape.