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LABORATORY FOR QUANTITATIVE EXPERIENCE DESIGNqed.cs.utah.edu
Artificial Intelligence Literacy
Rogelio E. Cardona-Rivera

Assistant Professor and Director, QED Lab
School of Computing, Entertainment Arts and Engineering

University of Utah

rogelio@cs.utah.edu

Twitter: @recardona
AI Literacy is the new Computing Literacy
AI Literacy is the new Computing Literacy
Objective: AI Literacy by the End of this Presentation
• Definitions and History

• AI and Philosophy

• Open Problems: 

‣ Narrow v. Broad AI

‣ Bias

‣ Ethics
Definitions and History
Definitions and History
A Modest Proposal:
Software that aims to represent what thinking humanly,
thinking rationally, acting humanly, and/or acting rationally is.
Definitions and History
The Early Days
• The Early Days (1588—1950):

Philosophy of Mind: 

	“What is thought?”
Definitions and History
The Early Days
Turing: If a machine behaves as
intelligently as a human being, then it
is as intelligent as a human being
Definitions and History
The Early Days The Symbolic Era
• Symbolic Era (1950—1989): 

Hand-coded Knowledge + Procedures

‣ p → q, p ⊢ q (Syllogistic Reasoning)
Definitions and History
The Early Days The Symbolic Era The Statistical Era
• Statistical Era (1990—2018):

Data + Statistical Relations (Machine Learning)

‣ Neural Nets, Deep Learning
Definitions and History
The Early Days The Symbolic Era The Statistical Era The Modern Age
• Modern Age (2019+)

Symbolic + Statistical Reasoning
AI and Philosophy
AI and Philosophy
• Trolley Problem
AI and Philosophy
• Trolley Problem
AI and Philosophy
• Trolley Problem

• Chinese Room Argument

(against AI)
Open Problems
• Narrow v. Broad AI
Open Problems
• Narrow v. Broad AI
Good at a bunch of tasks
Good at specific tasks
Open Problems
• Narrow v. Broad AI
Good at a bunch of tasks
Good at specific tasks
Open Problems
• Narrow v. Broad AI
Good at a bunch of tasks
Good at specific tasks
Open Problems
• Narrow v. Broad AI
Good at a bunch of tasks
Good at specific tasks
Open Problems
• Narrow v. Broad AI
Good at a bunch of tasks
Good at specific tasks
Being narrowly good doesn’t immediately

tell us how to be generally good.
Open Problems
• Narrow v. Broad AI

• Bias

‣ COMPAS Algorithm
Open Problems
• Narrow v. Broad AI

• Bias

‣ COMPAS Algorithm
Open Problems
• Narrow v. Broad AI

• Bias

‣ COMPAS Algorithm

‣ Microsoft’s Tay Bot
Open Problems
• Narrow v. Broad AI

• Bias

‣ COMPAS Algorithm

‣ Microsoft’s Tay Bot

‣ Face-recognition
works…if you’re white
Open Problems
• Narrow v. Broad AI

• Bias

‣ COMPAS Algorithm

‣ Microsoft’s Tay Bot

‣ Face-recognition
works…if you’re white

• Ethics
Open Problems
• Narrow v. Broad AI

• Bias

‣ COMPAS Algorithm

‣ Microsoft’s Tay Bot

‣ Face-recognition
works…if you’re white

• Ethics
Open Problems
• Narrow v. Broad AI

• Bias

‣ COMPAS Algorithm

‣ Microsoft’s Tay Bot

‣ Face-recognition
works…if you’re white

• Ethics
http://rogel.io/blog/rethinking-
the-ai-ethics-education-context
Objective: AI Literacy by the End of this Presentation
• Definitions and History

• AI and Philosophy

• Open Problems: 

‣ Narrow v. Broad AI

‣ Bias

‣ Ethics
Objective: AI Literacy by the End of this Presentation
• Definitions and History

• AI and Philosophy

• Open Problems: 

‣ Narrow v. Broad AI

‣ Bias

‣ Ethics

• Future: AI as a Regulated Industry

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Artificial Intelligence Literacy