What Is Artificial Intelligence, And How Does It Work?
December 8, 2017
When you read about artificial intelligence, some would think that it’s the stuff of futuristic movies. But complicated as it may seem, it’s quite useful once you get to learn more about it. As a technology-driven company, Kalibrr believes in embracing these hard and seemingly complex ideas. That’s why for today, we’ll discuss exactly what AI is and what it’s capable of doing—especially when it comes to recruiting for your business.
How It WorksJohn McCarthy, an American computer and cognitive scientist and widely considered the founding father of artificial intelligence, defined artificial intelligence as: “the science and engineering of making intelligent machines, especially intelligent computer programs.” The machines/programs are built and trained to perform cognitive tasks that humans can perform, except at a much larger capacity. Scientists are able to use AI, for example, to analyze volumes upon volumes of data within hours (or even minutes), creating efficiency in their research. Perhaps you may have already heard of Google’s foray into neural networks, or the first robot citizen Sophia too—but AI doesn’t need to be as complex. Thanks to today’s consumer gadgets, artificial intelligence is within our reach: virtual assistants that power your phone—from Siri to Google Now—recognize your speech and learn from your requests; computerized opponents on video games analyze your behavior in order to survive, and even automated fraud detection for credit card owners is making security smarter than ever for the typical shopper. Here at Kalibrr, the AI that we built operates by executing similar activities. Put simply, our AI engineers were able to train the AI powering our new service (KalibrrPro) so that we find the best candidates for every job post on our platform within a few clicks. This training helps our AI perform key tasks:
- It reads and understands the text in job posts and resumes, then translates them into data points.
- These data points are then analyzed and matched for relevance.
- After which the AI ranks these matches and presents them to a recruiter for curation.
- After a recruiter accepts/rejects matches, the AI learns from this feedback and incorporates it for the next time.