Artificial Intelligence and Society

Artificial Intelligence and Society

 

Course Description: 

The explosion of Artificial Intelligence (AI) algorithms has impacted many industries, and is changing the ways in which we live our lives. With technologies such as deliveries by drone, self-driving taxis, and robotic personal assistants on the horizon, it is important to understand the capabilities and limitations of current AI technologies and how society can encourage these potentially beneficial technologies safely and robustly.

 

Course length: 5 Days

 

Course Design:

This 5 day instructor-led classroom course combines short lectures, group discussions, and group exercises to help students better understand the applications of AI and potential impacts to industry and society as a whole.

 

Instructor:

Dr. Michael Clamann

 

Target Audience:

Business leaders, executives, general public

 

Prerequisites:

None

 

Objectives:

Upon completion of the course, students should be able to:

  • Identify current and proposed applications for AI algorithms
  • Understand cases of success and failure from deployment of AI
  • Identify the capabilities of AI and challenges facing the implementation of AI
  • Understand the potential future timeline and impacts on society of AI technologies

 

Course Outline:

 

Day 1:

  • Course Introduction
  • Introduction to AI
  • Applications of AI
    • Aviation
    • Robotics
    • Medicine
    • Cybersecurity
    • Finance
    • Online search and services
    • Media and music
    • Education
  • Discussion: AI in the home

 

Day 2:

  • AI Case studies
    • Siri
    • Google Car
    • Uber Elevate
    • Algorithmic Trading
    • Nest / Revolv
  • Exercise: Case study presentations

 

Day 3:

  • AI in Society
    • Regulators / Government
    • Industry
    • Media
    • Public
  • Social Challenges to integration of AI
  • AI: An academic perspective
  • Exercise: “Killer Robot” discussion

Day 4:

  • AI capabilities
    • Environmental Uncertainty
    • Prediction Accuracy
    • Speed
  • Challenges
    • Explainability
    • Verification/Validation/Certification
    • Data sharing
  • Exercise: Certification discussion

 

Day 5:

  • The future of AI
    • Autonomous vehicles
    • Weaponized AI?
    • Social pressures
  • Exercise: AI design challenge
  • Course Summary

 

 

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