AI: In the Future for MIS Students
There are quite a few reasons why AI can have a positive impact on all our lives. Here are a few:
Ai can lead to higher productivity in business. By automating some dangerous tasks... I'm not typing that all out.
There are subfields of AI. I'll try to define each of them for you. I'll start with machine learning. Machine learning...
Attempts to emulate how people learn through the use of data and algorithms. Machine learning systems improve gradually through a continuous interaction with humans. Then the system analyzes outputs based on inputs
Well, this may not always be clear. However,
Bias is defined as prejudgment in favor of or against a person, thing, or group, that could lead to an unfair advantage, result, or misrepresentation...
AI bias can stem from prejudiced assumptions...
Cognitive bias and incomplete data
Yes, It is! You've hit on an important ethical concern relating to how AI programs are created. That is...
How human biases affect the algorithms
An algorithm is...
a sequence of instructions designed to solve a problem or preform a calculation.
There are two types of bias which are...
intentional and unintentional
psychologists have identified more than 190 human biases. cognitives bias...
Includes conscious or unconscious errors in cognition that impact an individual's judgments, assumptions, and decision-making
Well, if the data used is not complete, it can...
Lead to a misrepresentation of the population being measured
Sure, you can...
Learn Python! Computer programming is an important part of AI and one of the most popular languages used right now is Python. Get a beginning book and work through it on your own
I'm mainly interested in programming. But if you're a math person. I'd recommend...
Statistics or Data Science. Data Science is sort of an interdisciplinary field that includes mathematics, statistics, and computer science
Yes, AI stands for artificial intelligence... AI is
The study and application of processes that combine computer and data science...
That's a great question, and there really is no definitive answer. However,
The use of bias-free data, data governance procedures, training, and review from outside entities can help minimize AI bias
Of course, nothing is perfect. There are some drawbacks such as
There is some concern about possible loss of jobs. While AI creates a lot of new jobs. In some fields it may also result...
Deep learning...
Uses data and algorithms to create learning, like machine learning, but portions of the learning process are automated. This can cut down on the need for much human intervention
You're on the right track, Siara. Neural networks are a type of machine learning that...
Uses interconnected nodes or neurons in a structure with layers that resembles the human brain.
