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Coursework/Introduction to AI : coursera4

23.06.12 Day4 IBM has come up with five pillars to address this issue, kind of summarizing the idea of responsible AI. That is explain ability, transparency, robustness, privacy and fairness. Reflection on AI issues, concerns, and ethics AI as a tool and AI as a decider. AI fundamentally learns from input data. People believe that AI will make fair and just decisions, but I have doubts about it. AI is likely .. 2023. 6. 12.
23.06.08 Day3 It feels like learning about the workings of the human brain while learning about artificial intelligence. If a natural language model can understand human intentions, what would be something it cannot imitate? I have been using ML primarily as a tool for classification, but I find AI in other fields very intriguing. 2023. 6. 8.
23.06.06 Day2 In the lecture, it was emphasized that AI is meant to assist human experts rather than replace them. However, I heard about a geologist who used to work on site selection for oil drilling. He was actually laid off because of AI... Of course, I heard he found another job (using expertise as a geologist), but it's something to think about. 2023. 6. 6.
23.06.05 Day1 Speed: 0.75x speed. Turn on the subtitles, it's understandable. AI can be described in different ways based on strength, breadth, and application - Weak or Narrow AI, Strong or Generalized AI, Super or Conscious AI. AI is the fusion of many fields of study, such as Computer Science, Electrical Engineering, Mathematics, Statistics, Psychology, Linguistics, and Philosophy. 2023. 6. 6.

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