Experts on Generative AI

Generative AI represents a groundbreaking approach to artificial intelligence. This cutting-edge technology is designed to discern patterns within vast datasets, enabling the creation of original material—be it images, text, or music—without the need for explicit instructions. An example of the technology in action is ChatGPT.

Harnessing complex algorithms, Generative AI can produce content that spans the spectrum from innovative and surprising to potentially inaccurate or misleading. This capability underscores its immense potential and the importance of responsible implementation and oversight.

WPI's experts on generative AI are exploring its possibilities with a commitment to fostering innovation while prioritizing ethical considerations and ensuring responsible deployment of the technology for the betterment of society. They can discuss the profound impact that Generative AI can have across various disciplines, from art and design to healthcare and engineering.

Xiaozhong Liu
  • Associate Professor Computer Science
Rodica Neamtu
  • Professor of Teaching Computer Science
Professor of computer science Rodica Neamtu studies and leads students through exploration of the human impact of artificial intelligence. Neamtu oversees the AI4ALL (Artificial Intelligence For All) program at WPI which allows students to study ethicalNea...
Gillian Smith
  • Associate Professor Computer Science
Professor Smith is an award-winning game designer. Her interdisciplinary work merges technical research in AI and HCI with creative practice in textiles and games, with a view towards addressing social issues and broadening participation and perspectives
Yunus Dogan Telliel
  • Assistant Professor Humanities & Arts
Professor Telliel teaches a range of courses on ethics, rhetoric, religion and culture, and science and technology studies. His current research examines the ethical implications of technologist's work as designers and maintainers of socio-technical
Jacob Richard Whitehill
  • Associate Professor Computer Science
Professor Whitehill's research interests are in applied machine learning, computer vision, data science and their applications to education, affective computing, and human behavior recognition. His work is highly interdisciplinary and frequently