An emerging trend in recruiting is the rise of automated interviewing, including the integration of artificial intelligence technology. This transition is a boon for the largely outdated recruiting industry. AI components allow companies to easily sift through dozens (or hundreds) of interviews quickly with objective metrics and consistent results. But as the rise in AI automation becomes more widespread, many readers may ask themselves, “how did artificial intelligence make its way into the hiring process in the first place? Isn’t hiring a fundamentally human process?”
Benefits of Artificial Intelligence in Recruiting
The emergence of new technologies in the recruiting space has been met with plenty of skepticism over the years. However, the advantages of this new technology far outweigh the fear of AI’s ability to understand and analyze human behavior. Utilizing AI in recruiting brings many benefits for organizations in every industry. These include:
- Saving time by automating tasks
- Standardizing assessment across the board
- Improving the candidate experience
- Decreasing turnover and hiring costs
For a nonprofit organization, small business, or startup, the cost of a bad hire could be the make or break point for their company. With the average cost of a bad hire ranging from $25,000-$50,000 (and beyond), the stakes are high to recruit the best talent as quickly as possible.
Current State of the Industry
The hiring and recruitment process has remained largely stagnant for decades. In fact, a recent study by Fast Company showed that the processes from application to acceptance are becoming even less efficient, increasing from 13 days in 2011 to nearly a month today. This equates to lost productivity and a greater strain on teams who are missing staff while searching for quality talent.
In the past two years, artificial intelligence has become a trending topic in the recruiting space. AI has been utilized in the hiring process by applying techniques like natural language processing and facial expression recognition. Natural language processing analyzes the word choice and patterns an individual uses to create a comprehensive personality profile. This profile will then be checked against the job requirements to understand the best personality fit for the role and rank candidates accordingly. Through Appliqant’s platform, candidates are profiled on the Big 5 OCEAN characteristics – openness, conscientiousness, extraversion, agreeableness, and neuroticism.
Algorithms are able to detect facial expressions in recorded interviews, including when someone is smiling or frowning. Appliqant’s technology is always evolving, as we are currently working to measure these facial expressions against pre-set questions and phrases. This will allow you to see how a candidate reacts to each question and create a more robust understanding of their experience and working style.
The ultimate goal of integrating AI is to have a robot interviewer lead a natural-feeling, AI interview for every candidate. The machine will be able to speak to a person and evaluate their skills and personality accurately every time.
Our AI technology is currently learning how to evaluate changes in a person’s expressions based on verbal and visual clues. This mimics the way humans form opinions about people, looking at their facial cues and body signals to understand their mood and disposition.
By utilizing AI to analyze automated video interviews, we are revolutionizing the recruitment industry to reduce waste in time and resources and bring you the best quality candidates for every position.
Appliqant is an AI-infused, blockchain-driven, automated video interview platform developed by the team at Quantilus. Interested in implementing AI in your business process? Contact us at email@example.com for a consultation.