Please use your reply to this blog post to detail the following:
Please start with a full description of the nature of your first ML project.
What was your primary motivation to explore the project you completed?
Share some insights into what predictions you were able to make on the dataset you used for your project.
What new skills did you pick up from this project? For example, had you used Jupyter Notebooks before? Did you encounter any weird bugs, twists, or turns in your dataset that caused issues? How did you resolve those issues?
What types of conclusions can you derive from the images/graphs you’ve created with your project? If you didn’t create charts or graphs and instead explored things like Markov Chains, how much work do you think you need to do to further refine your project to make its output more realistic?
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. You don’t have to comment on the posts of your classmates, but if you want to give them praise or just comment on their project if you found it cool, please do.
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?
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?
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 2020? List all the jobs from those years/decades that have become redundant and replaced by automation.
We live in a remarkable time where nation-states are vying to become the leaders of AI technologies. What challenges do you foresee your generation will have to face when it comes to nation-states look to becoming AI leaders and potentially use that technology against other nations? Who do you see as the key players in that race? In your opinion, how will that shape diplomatic economic relationships between the United States, the European Union, the Russian federation states and China?
How will services like ChatGPT, QuillBot, etc. change the landscape of learning a fundamental skill like how to write essays? What about writing code or undercutting the need to learn computer science? What other essential tangents of learning could be replaced by AI? Of those tangents, is it a good thing that humans would/would not need to learn that skill? Why? Explain your answers.
AS A REMINDER, please cite the URL of whatever sources you use to answer these questions.
