I agree. There are a lot of pros and cons to AI. It's our job to minimize the negative impacts so that AI benefits everyone!

You can find sources at the bottom of each chart.

@@matthewrenzeah yeah I noticed now.

What do you think is AI ?? Teaching patterns to machine to understand and interpret results .i know what can be done

We can figure out the more precise prediction in such cases either plus or minus with probability chance percentage

Daksh, This is a great question. Unfortunately, it's a very difficult one to answer -- especially in just a few sentences. In general, automating tasks that are simple, repetitious, costly, error-prone, or dangerous is beneficial to an economy -- provided that the value you receive from them is greater than the cost to create and maintain these smart machines. Essentially, automation makes an economy more productive. Unfortunately, the more jobs we automate with machines, the more humans will lose those jobs in the short term. So, we need to invest (as a society) in educating our labor force to upgrade their careers to either technical roles (e.g creating, training, managing, or maintaining smart machines) or for uniquely human roles (e.g. teaching, nursing, creativity, compassion, empathy, etc.) -- the things machines don't do very well. We need to strike the right balance between machines doing what they do best and humans doing what they do best. When we combine human labor with machine labor, we end up with a labor force that is more productive than either human labor or machine labor alone. Essentially the combination of the two ends up as a "productivity multiplier" for one another. In addition, we need to figure out how to optimally allocate resources in an economy where most of the world of real economic value is done by machines. This could entail a variety of options including a Guaranteed Basic Income, Negative Income Tax, a Social Stipend, or Universal Basic Ownership. I think this is how we create a productive high-tech economy or revive a stagnant economy using technology and public policy.

@@matthewrenze thanks for telling

Thanks Kabelo! : )

Miyamoto, best of luck with your Elementary Statistics course. It can be a tough subject to learn but it definitely opens a lot of doors for your future career path! : )

Great question. I typically use the terms "composite data type" and "data structure" interchangeably. However, some authors would say that both "scalar data types" and "composite data types" are (technically) both kinds of data structures. So there is a bit of a distinction in the field of computer science. Here's an explanation of the distinction between the two if you're interested in digging deeper: stackoverflow.com/questions/4630219/what-is-the-difference-between-a-composite-data-type-and-a-data-structure Thanks!

Thank you very much! 👍

Thanks! 😊