CIS 2050 AI for Business and Society (Instructor)

Course Description: This course introduces students to the fundamental principles and applications of Artificial Intelligence (AI). Students will explore core AI domains, including machine learning (ML), natural language processing (NLP), computer vision (CV), and deep learning (DL), while gaining an understanding of how these technologies are shaping industries. The course emphasizes the ethical implications of AI, focusing on issues like bias, fairness, transparency, and accountability. Through a combination of theoretical learning and hands-on activities, students will develop critical thinking skills to analyze both the benefits and challenges AI presents to business and society. By the end of the course, students will be equipped to evaluate AI’s impact and apply ethical frameworks to assess its use in real-world scenarios.

Student Learning Outcomes: Upon successful completion of this course, students should be able to:

• Define Artificial Intelligence (AI) and its evolution, including key subfields such as natural language processing (NLP), computer vision, and robotics. (Knowledge)
• Explain machine learning techniques, with an emphasis on neural networks and the differences between supervised and unsupervised learning. (Comprehension)
• Apply data analysis and statistical methods to assess the role of data in the development and performance of AI systems. (Application)
• Evaluate ethical issues in AI, focusing on transparency, bias, fairness, and accountability in AI applications. (Evaluation)
• Integrate knowledge of AI technologies and ethical considerations to analyze AI’s impact on society and propose solutions to mitigate risks. (Synthesis)