Raphael Milliere

I came into the class knowing quite a bit about this subject from my undergrad, but I learnt a lot from this class in terms of the practical applications and computer side of the class. The prof took advantage of the wide range of knowledge that kids in the class had and this was particularly useful.

The course was broken down into two "halves" - the first covering the philosophy of AI in terms of the philosophy of intelligence, thinking, acting, and related concepts, and the second covering the ethics of AI use in the world today. Overall, I learned a lot and this class was an excellent companion course to my other courses in computer science and psychology.

A survey of the current AI landscape from a philosophical perspective.

I learned both core concepts but also much more about how different disciplines are approaching AI challenges. I had some familiarity with AI coming in but - holy cow! - I learned so much more in this class.

I got to learn so much about artificial intelligence and where are we as society in technological terms. Also, I got to know various philosophers with amazing views on A.I and ethics. Embedded reality, the chine box problem, the black box problem and more-- has modernized philosophy for me. I got use to reading the classics or philosophers from the enlightenment.

I gained a significant amount of knowledge regarding the history and technicalities of artificial intelligence (both GOFAI and Neural Networks). I also gained deeper insight into the contemporary ethical issues of AI, such as the regulation of autonomous vehicles and weapons, and algorithmic fairness.

Philosophic concpets around artificial intelligence technology, I now have a better unerstanding of neural networks, I have a better graps of the ethics of artificial intelligence etc.

I learned, in a quite exhaustive way, the history and current landscape of AI development. I also gained an appreciation for the current promises and challenges of AI development, at a conceptual level. I had much more informed conversation when encountering experts in the field, so this class definitely shaped the way I thought about this topic. Interesting related philosophical questions are explored, though perhaps not to their fullest extent (I think generally that a lot of potentially futurist speculation was kept to a minimum, even though one can imagine such scenarios providing for rich material for philosophy).

If you want to know about AI, take this course. Even if you think that you already know a lot, it is still helpful to make sure that you are well-rounded in terms of your AI knowledge.