Artificial Intelligence: A Guide for Thinking Humans

Explore the current state of artificial intelligence in this thought-provoking lecture by Melanie Mitchell, Professor at Portland State University and External Professor at the Santa Fe Institute. Delve into AI's recent achievements and surprising failures, examining ethical issues surrounding its widespread deployment in society. Investigate the prospects of imbuing computers with human-like qualities while considering whether intelligent machines should be welcomed or feared. Learn about machine learning, deep learning, and the challenges of implementing common sense in AI systems. Gain insights into the longtail problem, adversary attacks, and the barrier of meaning in artificial intelligence. Discover the Winograd Schema Challenge and the state of the art in machine common sense and intuitive knowledge.

Introduction
Remote Control
Artificial Intelligence
What is Artificial Intelligence
Methods
Machine Learning
Google Image Search
ImageNet
AI in the Media
Selfdriving cars
Playing games
DeepMind
What did they learn
How machines learn
The Longtail Problem
Breakout Game
Adversary Attacks
The Barrier of Meaning
Common Sense in AI
Winograd Schema Challenge
State of the Art
Machine Common Sense
Intuitive Knowledge
Concepts