
Charles Isbell
Dean and John P. Imlay Jr. Chair at the College of Computing at Georgia Tech. His expertise lies in interactive machine learning and higher education.
Top 3 podcasts with Charles Isbell
Ranked by the Snipd community

33 snips
Dec 26, 2020 • 2h 3min
#148 – Charles Isbell and Michael Littman: Machine Learning and Education
Charles Isbell, Dean of the College of Computing at Georgia Tech, and Michael Littman, a computer scientist at Brown University, dive into the intersection of machine learning and education. They discuss the role of AI in sparking student curiosity and the importance of resilience in learning. Their light-hearted banter touches on the contrasting cultures of their universities, and they humorously explore how technology reshapes education post-COVID. Their deep friendship is evident as they reflect on personal growth and mutual influences.

Nov 2, 2020 • 2h 29min
#135 – Charles Isbell: Computing, Interactive AI, and Race in America
Charles Isbell, Dean of the College of Computing at Georgia Tech, dives into the transformative relationship between AI and societal issues, particularly race in America. He highlights the need for empathy in digital interactions and discusses how interactive AI can help bridge ideological divides. Isbell shares personal experiences navigating academia as a Black individual and critiques traditional hiring practices that exclude diverse talent. The conversation also touches on the evolution of hip-hop and the importance of teaching computational thinking to foster innovation.

Dec 23, 2020 • 46min
Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
In this engaging discussion, Charles Isbell, Dean at Georgia Tech's College of Computing and an expert in interactive machine learning, dives into the transformative power of education in tech. He highlights the success of Georgia Tech's online Master's program, boasting over 11,000 students. The conversation explores the crucial need for diverse voices in AI and reflects on the systemic biases within machine learning. Isbell also emphasizes embedding ethics into engineering education, advocating for a balance between technological advances and human values.