Introduces artificial intelligence for noncomputer science majors. Explores key AI concepts; applications; and ethical considerations such as fairness, transparency, accountability, and privacy. Engages with real-world case studies, discussions, and hands-on exercises to offer students an opportunity to develop a deeper understanding of AI’s strengths, limitations, and societal impact. Topics include AI history, generative AI, and machine learning, with applications in business, science, and the arts. Focuses on critically assessing AI output and identifying key evaluation criteria for AI-generated content. Students use AI to analyze data, explore intelligent decision support, assess AI risks and benefits, and employ AI as a creative collaborator. No prior technical background is required.