Types of Research

In the same way that Artificial Intelligence is infused into almost every aspect of our modern lives, it has also found its way into most of the research activities on our campus.

This research spans the gamut from those who are developing the next-generation of AI tools, to those that are applying those tools to different research domains, to those that are thinking about the consequences and ethical use of all of these new tools.

Broadly speaking, areas in which RIT is actively engaged in AI-related research include:

Core AI, including but not limited to machine learning and deep learning, machine learning for computer vision, machine learning for robotics, NLP, human aware AI.

Applications of AI, in such areas as health, cybersecurity, games and entertainment, accessibility, and agriculture, among others.

AI Enablers, such as efficient AI, hardware / chip design /hardware for AI, parallel computing / software tools that support machine learning, data set curation, HW/SW support for large datasets, human computer interaction, and trustworthy AI.

Ethics and Policy, examples such as the AI Lecture Series in our Applied Ethics Program or the Fram Critical Thinking Focus Area of Generative AI, their AI Signature events, and their AI Community of Practice.

Impact of AI on Academic Research Questions Broadly: Researchers who are reframing research questions due to the impact of AI on social and professional life (e.g., finance, organizational behavior, criminal justice, communicating, marketing, etc.)

AI in the Classroom, research on AI as an instructional tool, AI pedagogy, and the development of AI degree programs.

AI Research in Our Colleges