In this episode, we speak with Nari Johnson and Sanika Moharana at this year’s FAccT conference in Rio de Janeiro.

In part two of our FAccT deep dive, Alix joins Nari Johnson and Sanika Moharana to discuss their paper “The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment”.

Nari Johnson is a third-year PhD student in Carnegie Mellon University's Machine Learning Department, where she is advised by Hoda Heidari. She graduated from Harvard in 2021 with a BA and MS in Computer Science, where she previously worked with Finale Doshi-Velez.

Sanika Moharana is a second-year PhD student in Human Computer Interaction at Carnegie Mellon University. As an advocate for human-centered design and research, Sanika practices iterative ideation and prototyping for multimodal interactions and interfaces across intelligent systems, connected smart devices, IOT’s, AI experiences, and emerging technologies .

Further Reading

•  The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment