Fall 2025 Course Topic: Socially Responsible AI
The overarching goal of this course is to impress upon students the enormous potential of Artificial Intelligence (AI) to be used as an agent for good in today’s increasingly connected societies. To achieve this goal, this course explores a set of advanced AI methods such as machine learning, convex and combinatorial optimization, game theory and mechanism design, sequential planning, etc., and illustrates how these methods have been used to tackle challenging problems that afflict humanity, particularly in the areas of healthcare, conservation and public safety and security.
The intended audience for this course are Ph.D. students, Master's students, and advanced undergraduates interested in exploring research questions in AI which lead to a tangible societal impact. To get the most out of this course, the student should have a decent mathematical background, although that is not required and will not be used a criteria for course evaluation. Although the course is listed with IST, graduate students in CS, EE, OR and the Social Work departments would also find this course of interest.
- Semester: Fall 2025
- Instructor: Amulya Yadav
- Who: Students who can use this course as:
- an advanced elective/additional course for all DS Students (ENGR, IST, SCIEN)
- an application focus course for HCDD
- Supporting course for SRA
- When: TR 10:35 am - 11:50 am
- Where: E203 Westgate Building
- Credits: 3.0
- Prerequisites: DS 220
- LionPATH Class Number: 28169
- Explain the strategic role of IT in aligning with business objectives.
- Describe enterprise systems and evaluate their impact on business processes.
- Apply data management practices and understand the importance of data quality, security, and privacy.
- Identify and compare cloud computing models and understand their applications in business.
- Use analytics tools to interpret data insights for business decision-making.
- Explain systems integration concepts and approaches for achieving cohesive IT environments.
- Apply basic project management techniques to IT projects, including budgeting and risk assessment.
- Demonstrate effective communication and teamwork skills necessary for IT-business collaboration.