| Description |
Artificial Intelligence (AI) combines algorithms in complex, data-driven ways with difficult-to-predict outcomes. It has become an essential yet largely invisible component of our modern global society. All across the world, AI allows for the automation of business rules, policies, and decision-making at a large scale. Through identification of and reflection on how personal values and societal values relate to those embedded in AI deployments, students will be able to articulate the potential benefits and harms of AI technology to individuals, organizations, and global society.
Students will learn about various applications of AI, including marketing, management, life sciences, government policy, education, and transportation. Topics include how to manage AI, ethical frameworks, types and sources of algorithmic bias, guidelines for responsible use of AI, and accountable autonomy. The course is primarily based on readings, research, and discussion (80%) and also incorporates using low-code AI solutions (20%) to analyze how the source and quality of data sources impact AI bias and performance. The course includes both individual and team-based assignments. |