Disruptive technologies in the recruitment space — including the use of artificial intelligence in automated video interviews — have left many people wondering whether these innovations have been a boon or yet another hurdle to find top talent. Critiques of artificial intelligence in recruiting include perceptions of cost, the learning curve for new technologies, and […]
Even beyond our use case of creating automated video interviewing software, we are fascinated by the possibilities for artificial intelligence to innovate many areas of business and life. On the horizon, artificial intelligence will significantly influence day-to-day life for small- and medium-size businesses. Technology companies are spending billions of dollars developing artificial intelligence technologies, and […]
Whether you call it resume padding or application fraud, the trend of candidates lying on their resumes is increasing as unemployment rises. The problem can get even worse, with fake candidates applying and performing the interviews while sending a different person entirely on the first day of the job.
Estimates from sources like Steven Levitt and […]
Not a recruiter? No problem! The Appliqant platform can be used for a lot more than traditional hiring. From higher education recruitment to personal uses, automated video interviews can impact your life in a variety of ways. Automated interviewing improves any process where you need to speak with someone to get information. Metrics provided […]
Whether you are hiring customer service representatives, retail store workers, telecallers, or any other customer service role, your company can benefit from implementing video interviewing in your recruitment process. These customer-facing employees have some of the biggest challenges and highest turnover rates in any industry. Recruiting them can seem like a particular hurdle for HR […]
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 This transition is a boon for the largely outdated recruiting industry.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 […]
State-of-the-art methods of attribute detection from faces (like those used in Appliqant) almost always assume the presence of a full, unoccluded face. Hence, their performance degrades for partially visible and occluded faces. This paper discusses the use of a deep convolutional neural network-based method that is explicitly designed to perform attribute detection in partially occluded […]