The Ethics Institute at MSU
The Ethics Institute serves as the central hub for ethical guidance, collaboration, and community engagement around AI in research, education, and university practices at Michigan State University. From convening the university’s AI Summit to supporting the development of guidelines, research, and faculty working groups, the Institute has led efforts to ensure MSU’s approach to AI is thoughtful, inclusive, and aligned with our institutional values. By bringing together voices from across disciplines, the Ethics Institute fosters dialogue and shapes practices that prioritize equity, responsibility, and innovation in the age of automation.
Evidence Driven Learning Initiative (EDLI)
The Evidence Driven Learning Innovation (EDLI) research center is a collaboration of educators and researchers in the Colleges of Arts and Letters, Business and Natural Science, MSU Libraries, and MSU IT. Our mission is to humanize the digital learning experience and use a values-driven approach to develop and evaluate digital pedagogies and technologies for 21st-century learning.
Center for Education and Emerging Technologies (CEET)
The integration of Artificial Intelligence (AI) in STEM education marks a revolutionary shift in pedagogical methods and learning outcomes. AI's role in customizing and enhancing educational experiences is paramount. The Center for Education and Emerging Technologies explores and pushes forward the use of AI in STEM Education.
Michigan State University AI Research (MAIR)
The Michigan State University AI Research (MAIR), housed within the Department of Computer Science and Engineering (CSE) at Michigan State University (MSU), holds a distinguished position in the dynamic field of Artificial Intelligence (AI). With a rich history of innovation and a commitment to pushing the boundaries of technology, MAIR provides a hub of creativity and discovery in AI research. Led by a diverse team of renowned experts, MAIR endeavors include a wide range of research domains, spanning biometrics, computer vision, data mining, natural language processing, and machine learning.
Spartan Spotlights
Anjana Susarla
Faculty Director of the Center for Ethical and Socially Responsible Leadership, Omura-Saxena Professor in Responsible AI, Eli Broad College of Business
Anjana Susarla is the Omura Saxena Professor in Responsible AI in the Department of Accounting and Information Systems at the Eli Broad College of Business. Her research interests include social media analytics and the economics of artificial intelligence.
She earned an undergraduate degree in Mechanical Engineering from the Indian Institute of Technology, Chennai; a graduate degree in Business Administration from the Indian Institute of Management, Calcutta; and Ph.D. in Information Systems from the University of Texas at Austin.
Her work has appeared in several academic journals and peer-reviewed conferences such as Academy of Management Conference, Conference on Knowledge Discovery and Data Mining, Information Systems Research, International Conference in Information Systems, Journal of Management Information Systems, Management Science and MIS Quarterly. She has also received grants and funding from several institutions including an R01 grant from the National Institute of Health.
Dr. Susarla has been a recipient of the William S. Livingston Award for Outstanding Graduate Students at the University of Texas, a Steven Schrader Best Paper Finalist at the Academy of Management, the Association of Information Systems Best Publication Award, a Runner-Up for Information Systems Research Best Published Paper Award and the Microsoft Prize by the International Network of Social Networks Analysis Sunbelt Conference.
Recent articles:
- Ask the expert: How are states placing guardrails around AI?
- How Leaders Can Choose The Right AI Auditing Services
Profiles:
Learn more about Anjana and her work on the Broad College of Business website.
