Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Carpenter "Will a Google of AIs Transform the Future of Communications?"

159 views

Published on

This presentation was provided by Todd Carpenter of NISO during the Frankfurt Book Fair. His talk was given on October 16, 2020.

Published in: Education
  • Be the first to comment

  • Be the first to like this

Carpenter "Will a Google of AIs Transform the Future of Communications?"

  1. 1. Will a Google of AIs Transform the Future of Communications? Todd A. Carpenter, Executive Director NISO - National Information Standards Organization Charleston @ Frankfurt Panel October 16, 2020
  2. 2. Artificial Intelligence in 8 Minutes
  3. 3. Supervised Learning Models Bayesian Probabilities Markov Chains Natural Language Processing Generative Adversarial Networks Neural Network Nodes Dimensionality Regression Random Walk Process Don‘t Worry! Things I Won’t Be Talking About:
  4. 4. AI today is an algorithmic, statistical approach to problem-solving powered by rapid replication of a process that is based on an explicit understanding of the desired outcome.
  5. 5. AI today is an algorithmic, statistical approach to problem-solving powered by rapid replication of a process that is based on an explicit understanding of the desired outcome.
  6. 6. Machines don’t read like people do 6
  7. 7. Machines don’t think like people do 7
  8. 8. Machines aren’t as smart as you might think 8
  9. 9. Wisdom Processing Analysis Connection Storage Recall Input Recognition Output
  10. 10. Wisdom Processing Analysis Connection Storage Recall Input Recognition Output Creativity Consideration Processing Awareness Perception
  11. 11. Wisdom Processing Analysis Connection Storage Recall Input Recognition Output Creativity Consideration Processing Awareness Perception Machine Reading Digitization/OCR/Tagging Discovery Graph building/taxonomy Thesis Testing/Validation Protocol Development Big Data processing Data curation/matching Fraud detection Editing/Curation Novel Creation
  12. 12. Wisdom Processing Analysis Connection Storage Recall Input Recognition Output Creativity Consideration Processing Awareness Perception Machine Reading Digitization/OCR/Tagging Discovery Graph building/taxonomy Thesis Testing/Validation Protocol Development Big Data processing Data curation/matching Fraud detection Editing/Curation Novel Creation
  13. 13. Machine Reading Digitization/OCR/Tagging Discovery Graph building/taxonomy Thesis Testing/Validation Protocol Development Big Data processing Data curation/matching Fraud detection Editing/Curation Novel Creation Widely & successfully deployed Mixed deployment to varying degrees Preliminary testing/deployment Not available
  14. 14. Despite Successes, Problems Abound Legal and Policy Frameworks Current copyright law is ill suited for an AI world Most policy makers are not sufficiently technical Lack of transparency is leading to a lack of trust Privacy and Ethics Biases in training or algorithm development compound issues
  15. 15. Machines aren’t as smart as you might think 15
  16. 16. Thank you! Todd Carpenter Executive Director tcarpenter@niso.org 2019 NISO Introduction 3600 Clipper Mill Road Suite 302 Baltimore, MD 21211 USA Tel.: (301) 654-2512 Fax: (410) 685-5278 www.niso.org 16

×