Fri, April 11, 7:00 PM
60 MINUTES
Interactional AI

Meta's mission is to empower people to build community and bring the world closer together through artificial intelligence. As part of this mission, Meta believes that augmented reality and metaverse will be the future platform for connectivity for which conversation and interactional AI systems are going to be a critical component. Even today, millions of people use natural-language interfaces via in-home devices, phones, or messaging channels such as Messenger to connect with each other. During my time at Meta, I focused on creating new interactional technologies that have a deep understanding of the context and deliver a personalized experience to the user that is both task-oriented and empathic. Moreover, users are in charge of driving the interaction rather than following a predefined interaction flow. The next generation of interactional AI systems will be multi-modal and pro-active, integrating cues across several modalities to provide creative and on-spot response to the users through augmented reality enabled devices.

Alborz Geramifard

Distinguished Scientist @ LinkedIn

Alborz Geramifard is a Distinguished Scientist at LinkedIn, focusing on agentic behaviors and reinforcement learning (RL). Previously, he was a Research Science Director at Meta, where he led Conversational AI and RL efforts, driving an end-to-end LLM-based approach for dialogue management that was brought into production (Project CAIRaoke: https://ai.facebook.com/blog/project-cairaoke/). Before Meta, he led Amazon Alexa’s Conversational AI team, developing and deploying over a dozen NLU models. He holds a PhD from MIT and an MSc from the University of Alberta, both in RL, and was awarded NSERC scholarships (2010–2012). Alborz has actively contributed to the research community such as the guest editor for the Machine Learning Journal and AI Magazine, and Area Chair for EMNLP, NAACL, ACL, and RLC.