Explore the transformative shift from Machine Learning to Machine Teaching in this 21-minute conference talk. Delve into the foundational concepts of Machine Teaching and its potential to revolutionize industries by addressing key challenges in AI, including explainability, data access, and algorithm control. Learn about specific use cases and real-world applications of this emerging technology through examples presented by Murat Vurucu. Gain insights into the future of AI, from its current state to the promising solution path offered by Machine Teaching, complete with a demonstration and comprehensive summary.
Overview
Syllabus
Introduction
What is AI
How AI works
Problems with AI
Huge new industry
Solution path
Explicit data
Data bottleneck
Demo
Summary
Taught by
MLCon | Machine Learning Conference
