My part of a panel discussion at the University of Akron School of Law’s Symposium on Intellectual Property Law and Policy in Mar 2019.

1. Very Brief Intro to
AI, ML and DL
Scott N. Gerard, PhD

2. 2
Artificial
Intelligence
Perception
Reasoning
Knowledge
Planning
Machine Learning
Natural Language
Agents (virtual)
Symbolists
Deep Neural Networks
Neural Networks
Connectionists
Bayesians
Analogizers
Evolutionaries
Robotics (physical)
…

3. 3
Linear Regression
is a simple kind of
Machine Learning

4. 4

5. Black Cauldron Disclosure
Many Features
Corpus
Wing of bat
Eye of newt
cognitive
application
machine learning
Disclosure
Anti-pattern
ML ≠ Miracle

6. Today’s AI are Narrowly Applicable
• Today’s AIs solve only 1
problem (“narrow peaks”)
• Chess AI can’t play checkers
Solved problem
Unsolved similar problem

7. Future AIs will be Broadly Applicable
• Artificial General AI (AGI)
• “high plateau”
• But not for a while

8. From a T-shirt
“Narrow Intelligence
is no match for
the frailties of
Broad Intelligence”