How AI is impacting social behavior
How individuals develop co-intelligence with AI
How organizations growing with AI
Assisted Teaching and Adaptive Learning
Aims to enhance education by using AI for personalized learning and assisting educators in tailoring lessons to individual students' needs, improving classroom engagement.
Deployment, Adaptation, and Integration at scale
Focused on integrating AI tools into CUNY’s systems to streamline operations and enhance educational workflows, ensuring seamless adoption. It involves project management, training, technology, equipment, and process optimization.
Operational Productivity
Enhances efficiency across CUNY’s 25 campuses by implementing AI to automate tasks, optimize staff productivity, and streamline administrative processes. The progression will be studied as independent study.
Shift in Ethical, Behavioral, and Economic Studies
Focuses on researching AI’s societal impact, including ethics, economic mobility, and behavioral changes, ensuring responsible AI deployment across sectors.
CUNY Intelligence and Interdisciplinary Collaboration
Involves cross-departmental research on AI, bringing together fields like data science, psychology, and sociology to create a comprehensive approach to AI. CUNY Intelligence will be established as a central area.
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