The "Explainable Artificial Intelligence (AI) in Legal Decision-Making" course offers an in-depth exploration of the role of explainable AI (XAI) in legal contexts. Through eight comprehensive modules, participants delve into various aspects of XAI, including its application in legal decision support, interpretability models, model-agnostic approaches, and real-world implementations in legal practice. Additionally, the course examines the ethical considerations and legal implications associated with employing XAI systems in legal decision-making processes.

Who This Course Is For: This course caters to legal professionals, policymakers, AI developers, researchers, and individuals interested in understanding the intersection of AI and the law. It is designed for those seeking to enhance their knowledge of explainable AI techniques and their application within legal frameworks. Whether you're involved in legal research, case analysis, or decision-making processes, this course equips you with essential insights and tools to leverage explainable AI effectively in legal contexts.