AI and the terms associated with it are passing through the talent acquisition industries, but are we understanding the true meaning of these terms? It's common to get these terms confused and use them in the wrong instance. However, with this quick guide, recruitment pros better understand all the verbiage and never risk misunderstanding or misusing AI terminology again.
1. Artificial Intelligence
In the most basic terms, AI can be defined as a computer system that can learn in oman phone number library a deeper way and predict an outcome. Examples of artificial intelligence surround us every day. AI is in our Amazon purchasing suggestions, Netflix new show recommendations and even the predictive text on your smartphone messages.
What it can do for recruiting:
Some examples of AI in recruiting include technologies that have the ability to screen resumes for recruiters and engage candidates through a chatbot feature.
2. Machine Learning
A computer program that is capable of machine learning can learn and act without being explicitly programmed to do so. As more data is input into the program, it is then able to adapt its outcomes to be more accurate.
What it can do for recruiting:
Machine learning in recruiting can be used to rank candidate resumes to give recruiters the most qualified applications based on the data and information they provide the program. The more the system can learn about the company and the position requirements, etc. the better results it presents recruiters.
AI Terms Every Recruitment Pro Needs to Know
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