Subject: AI Leadership (Grad) (MAIL)

CRN: 41772

Online: Asynchronous | Lecture

Online

  Mark Price

This course is designed to equip future AI leaders with the practical skills and strategic insights needed to successfully integrate and scale AI solutions. The course will explore change management principles and techniques to lead organizations through the AI adoption process, fostering a culture of innovation and collaboration. For the preparation stage, students will learn to assemble and manage high-performing AI project teams, ensure data readiness for AI applications (including the collection, cleaning, and management of internal data), and prepare AI infrastructure and customize appropriate tools. For the implementation stage, students will learn to effectively test, deploy, evaluate, and scale AI solutions. As a capstone project, students will develop a comprehensive roadmap for AI integration at their chosen organizations. The plan should align the steps covered in the course with the chosen organization’s strategic and ethical goals. Students will have the opportunity to integrate this plan with prior work, creating a comprehensive AI Opportunity Assessment & Implementation Roadmap, showcasing their ability to lead strategic AI initiatives from conception to execution.

3 Credits

Subject: AI Leadership (Grad) (MAIL)

CRN: 41773

Online: Asynchronous | Lecture

Online

  Jules Porter

This course introduces the rapidly changing legal and regulatory environment for AI. We will explore existing law, emerging AI regulation, and best practices to minimize liability. Existing law topics include data and informational privacy, bias and non-discrimination, intellectual property, and product liability. Emerging regulatory systems include the EU AI Act, potential federal regulations in the US, new state-level laws, and the advocacy efforts of various communities lobbying for specific regulations. Entrepreneurs, developers, product managers, legal professionals, and policymakers interested in the intersection of AI and law will have the opportunity to develop their own stance on AI governance.

3 Credits