Legal Risk Management for Generative AI

As generative artificial intelligence integrates into modern workflows, organizations face unprecedented legal, ethical, and regulatory challenges. Understanding how to identify and mitigate these risks is essential for safeguarding your organization while leveraging powerful new technologies. This text-only course guides you through the foundational concepts of legal risk management specifically tailored for generative AI. You will learn to recognize potential liabilities, establish robust governance frameworks, and implement practical strategies to protect intellectual property, maintain data privacy, and ensure regulatory compliance. What you'll learn: - Understand the core legal and ethical risks associated with generative AI technologies - Identify intellectual property liabilities, including copyright infringement and data ownership issues - Evaluate data privacy concerns and compliance requirements under modern global frameworks - Implement AI governance policies and guardrails to mitigate risks in daily business operations - Address emerging vulnerabilities such as prompt injection, model bias, and hallucination risks - Design practical risk assessment workflows for deploying AI tools safely The course begins with key terminology and fundamental AI concepts before transitioning into detailed written analyses of legal liabilities, real-world risk scenarios, and structured mitigation frameworks. This course is designed for legal professionals, compliance officers, risk managers, and business leaders seeking a foundational understanding of AI risk management, with no prior technical background required. Begin reading today to build a proactive and compliant approach to generative AI integration.