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Akron panel presentation

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.

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Akron panel presentation

  1. 1. Very Brief Intro to AI, ML and DL Scott N. Gerard, PhD
  2. 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. 3 Linear Regression is a simple kind of Machine Learning
  4. 4. 4
  5. 5. Black Cauldron Disclosure Many Features Corpus Wing of bat Eye of newt cognitive application machine learning Disclosure Anti-pattern ML ≠ Miracle
  6. 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. 7. Future AIs will be Broadly Applicable • Artificial General AI (AGI) • “high plateau” • But not for a while
  8. 8. From a T-shirt “Narrow Intelligence is no match for the frailties of Broad Intelligence”