Artificial Intelligence and Machine Learning

An intelligent machine is one that can analyze a set of circumstances and make a conclusion about those circumstances without contemporaneous direct human intervention. The definition of what makes a machine “intelligent”, however, varies over time. In this capstone section, we take a look at some of the current trends in the study of machine intelligence.

• Lecture

  • Watch on Youtube
  • Watch on the CS50 Video Player
  • Download Lecture
  • Lecture Notes

• Shorts

  • Introduction to AI (Brian)
  • Recommender Systems (Brian)

• Notes

  • Artificial Intelligence and Machine Learning

• Supplementary Resources

  • Want to have a conversation with the ELIZA chatbot? The original source code for ELIZA has been modified for C, and you can download this file to your CS50 IDE and compile it to start your chat!
  • Take a look at this article by Google on using machine learning to analyze female representation in movies.

• Thought Questions

  • How should ethical dilemmas be handled with artificial intelligence? For instance, if a self driving car can steer away from a group of 10 people to a group of 5, should it be programmed to?
  • Why do humans playing board games not have to consider as many possibilities as AIs do? How do they limit which possibilities they consider?
  • Are there limits to what artificial intelligence and machine learning technologies can do? What are those limits?
  • How are artificial intelligence and machine learning different?
  • How can artificial intelligence and machine learning affect the economy?
  • Can artificial intelligence and machine learning algorithms be biased? How is this possible and how does it manifest in real life?
  • Are artificial intelligence and machine learning algorithms always trustworthy?