About the Workshop
Due to IUI’s cancellation, we will be holding a virtual workshop from 1400-1700 GMT on March 17th and that anyone interesting in participating should contact:
Visit the Program Page for more information and detailed schedule.
We are please to announce the merging of two workshops into a joined workshop: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies (ExSS-ATEC). Following their successful predecessors: the 3rd Workshop on Explainable Smart Systems (ExSS) and the 2nd International Workshop on Intelligent User Interfaces for Algorithmic Transparency in Emerging Technologies (IUI-ATEC), the new ExSS-ATEC will be held in conjunction with the 25th International Conference on Intelligent User Interfaces (ACM IUI 2020), 17-20 March 2020 in Cagliari, Italy.
ExSS-ATEC 2020 will be supported by the Cyprus Center for Algorithmic Transparency (CyCAT)
Keynote Speaker: Carrie J. Cai
Carrie Cai is a senior research scientist at Google Brain and PAIR (Google’s People+AI Research Initiative). Her research aims to make human-AI interactions more productive and enjoyable to end-users, ranging from novel tools to help doctors steer AI cancer-diagnostic systems in real-time, to frameworks for effectively onboarding end-users to AI assistants. Her work has been published in HCI venues such as CHI, IUI, CSCW, and VL/HCC, receiving 4 best paper / honorable mention awards and profiled on TechCrunch and the Boston Globe. Before joining Google, Carrie completed her PhD in computer science at MIT, where she created intelligent wait-learning systems to help people accomplish long-term goals in short chunks while waiting. Carrie first learned to program at age 24, after having completed undergraduate degrees in human biology and education at Stanford. She feels that it’s never too late to learn machine learning, and that some of the world’s best AI innovations come from the humanities powered by computing.
Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 