Journal Reflection #3: Insights into your first AI/ML Pygame project

Please use your reply to this blog post to detail the following:

  1. Please give a full description of the nature of your first AI/ML game project.
  2. What was the steepest part of the learning curve for this project? Was it learning how to implement the AI or how to use the Pygame/Pyglet library? Please elaborate and explain your answer.
  3. Describe the AI/ML algorithm your game implements. Did you work through a tutorial you found online? Did you start from scratch because you were motivated by a particular game or algorithm and you wanted to implement it using Pygame/Pyglet?
  4. If you had to teach this class next year, what project would you recommend to students in the Advanced Topics class to give them a broad and comprehensive overview of some fundamental AI algorithms to implement in a game?
  5. Include your Github repo URL so your classmates can look at your code.

Take the time to look through the project posts of your classmates. If you saw any project or project descriptions that pique your interest, please reply or respond to their post with feedback. Constructive criticism is allowed, but please keep your comments civil.

Journal Reflection #2: Insights into your first ML project

Please use your reply to this blog post to detail the following:

  1. A full description of the nature of your first ML project.
  2. Some insights into what predictions you were able to make on the dataset you used for your project.
  3. What types of conclusions can you derive from the images/graphs you’ve created with your project?
  4. Did you create any formulas to examine or rate the data you parsed?

Take the time to look through the project posts of your classmates. If you saw any project or project descriptions that pique your interest, please reply or respond to their post with feedback. Constructive criticism is allowed, but please keep your comments civil.

Reactions to Frontline’s documentary “In the Age of AI”

This discussion is based off the PBS Frontline documentary, “In the Age of AI.” To watch this documentary, visit this link:

PBS Frontline: In the Age of AI

Questions for Discussion

  1. When Kai-Fu Lee says, “Data is the new oil,” and “China is the Saudi Arabia of data,” what does he mean in those statements? Can you describe at least three ways that companies or governments with data monopolies could benefit from having those resources over other companies or governments?
  2. From your perspective as a user or non-user of social media or search indexing technology, do you think social media, searching or website (cookies) tracking of US citizens is important in the race to become a leader in artificial intelligence for the United States, or is that tracking/collection an invasion of privacy and individual rights in our country? What about in other countries?
  3. Can you think of a few careers you might consider pursuing when you graduate from college or graduate school? Once you have a few ideas, visit https://willrobotstakemyjob.com/ and plug in those career ideas to see their overall risk to being replaced by automation. How vulnerable are those potential careers to automation? Can you think of 2-3 careers that existed in 1950 that do not exist today? How about 1990? How about 2010? List all the jobs from those years/decades that have become redundant and replaced by automation.

AS A REMINDER, please cite the URL of whatever sources you use to answer these questions.