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Artificial Intelligence

Artificial Intelligence (AI) is the study and design of intelligent agents or networks.  AI is closely tied to the study of decision theory in mathematics and computer science.  Decision theory 
is concerned with identifying the values, risks and uncertainties
associated with important decisions.  The goal of AI is to develop new approaches to reasoning and problem solving. What all AI systems share in common is the ability to reason, problem solve and take corrective action based on preprogrammed assumptions and information inputs.


There are two distinguishing features that characterize all
AI systems.  First, the 
AI system must have the ability to scan  its external surroundings.  Second, the AI system must have the ability to evaluate a situation and initiate an appropriate decision/response.  The decision must be rationale.
We call this adaptation. 


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Artificial Intelligence: Briefing Paper

Facial Recognition: Briefing Paper

Suggested Readings

Russell, S. & Norvig, P.  Artificial Intelligence: A Modern Approach. 4th ed. (New York, Pearson, 2020).

Russell, S.  Human Compatible: Artificial Intelligence and the Problem of Control. (New York: Viking, 2019).

Tegmark, M.  Life 3.0: Being Human in the Age of Artificial Intelligence. (New York: Knopf-Doubleday, 2017).


Suggested Video Presentations

In the Age of AI: Frontline Documentary

Future of Humanity: AI and Robotics

Artificial Intelligence and Algorithms

Biggest Advancements in Artificial Intelligence


Hanson: Sophia AI Prototype, Available at:

Lex Fridman Interview with Peter Norvig: Artificial Intelligence: A Modern Approach

Max Tegmark lecture on Life 3.0 – Being Human in the Age of Artificial Intelligence

WSJ Interview with Elon Musk, Innovation and Artificial Intelligence

Photo: Pixabay
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