Teaching Models to Forget Information

The Magic Comes From the Human Connection

Teaching computer science is an ever-evolving practice, and with the explosion of large language models that can source information in the blink of an eye, Anil Ada knows he doesn't have all the answers. Ada, an associate teaching professor at Carnegie Mellon University, helms one of the core courses for first-year students in the School of Computer Science. He ensures students walk away with the reasoning and communication skills needed to advance, and some special memories, too. See omnystudio.com/listener [https://omnystudio.com/listener] for privacy information.

What You End Up With is a More Skilled Workforce

To integrate AI and autonomous systems into someone's work day, you first need to understand their job. That's why Nik Martelaro and Sarah Fox are working with public transit operators and riders from across the country to help design the future of public transit systems, and create a model for safely and effectively bringing AI into the workplace. See omnystudio.com/listener [https://omnystudio.com/listener] for privacy information.

Read Your Car's Terms of Service

"Your personal information has been part of a security breach." As more aspects of life are brought online, how do we protect personal information? Sarah Scheffler, an assistant professor at Carnegie Mellon University, discusses how applied cryptography works to protect privacy, and what privacy means in the digital age. See omnystudio.com/listener [https://omnystudio.com/listener] for privacy information.

You Can't Understand It Until You Feel It

Virtual and augmented reality are becoming more prevalent, but full-immersion still seems far away. Vivian Shen, a doctoral student in Carnegie Mellon University’s Robotics Institute, is exploring how to create truly immersive experiences, from our lips to the pads of our feet. See omnystudio.com/listener [https://omnystudio.com/listener] for privacy information.

Teaching Models to Forget Information

As artificial intelligence-enabled systems become more integrated, how can computer science ensure these systems prioritize safety and security? Virginia Smith, the Leonardo Associate Professor of Machine Learning at Carnegie Mellon University, discusses the balance between prioritizing AI safety, ethics and efficiency. See omnystudio.com/listener [https://omnystudio.com/listener] for privacy information.