Robots That Talk and Learn - Shiwali Mohan, Palo Alto Research Center

Explore a comprehensive lecture on designing effective collaborative AI systems through modeling human behavior. Delve into the challenges and opportunities of interactive task learning for robots, focusing on enabling natural interactions between humans and AI. Examine the importance of incorporating models of human behavior and decision-making in intelligent system design. Learn about various advances in the field, including applications in preventive healthcare, sustainable transportation, and augmented reality. Gain insights from Shiwali Mohan, an AI systems researcher at Xerox PARC, as she shares her interdisciplinary approach to creating human-aware agents. Discover the potential of intelligent collaborative technology for social good and public welfare. Follow the journey from the basics of complex AI system deployment to cutting-edge research in cognitive architectures and interactive concept learning. Understand the significance of an interdisciplinary agenda in the science of collaborative human-AI systems and its implications for future technological advancements.

Intro
Complex Al System
Deployment in Dynamic Environments
Interactive Task Learning - ESF 2017
Revisiting the Blocks World - Robotics Edition
On Origins of Human Language
Computational Language Processing
Embodied Language Processing
Cognitive Task Analysis
ITL is a Different Paradigm
AILEEN
Interactive Concept Learning Currently led by Will Moncock, Northwestern University
A Neuro-Cognitive Architecture
Evaluating Interactive Concept Learning
Science of Collaborative Human-Al Systems
An Interdisciplinary Agenda
PARC AI Systems Research
Gratitude