AI-powered automated video interview evaluation by Aspiring Minds
It would not only bring down the hiring time significantly but also enable to standardize their interview processes, at the same time attaining efficiency at scale.
Artificial Intelligence, machine learning and bots are changing the dynamics of recruitment across the world today. Many a times, organisations lose out on good candidates due to constraints like shortage of time, limited number of interviewers and accuracy in assessment.
At times, people at the management level may not be available for conducting an interview. And those who would be, may not be able to handle a long list of applicants. A typical human recruiter can handle up to 20-50 candidates at a given time, but a machine can perform the same task much better and faster.
There is always the risk of making a bad hire because human recruiters may have deep rooted biasness when it comes to selection and analysis. There is a pressing need for objective and most importantly, accessible ways of taking interviews.
HR today needs to be empowered with Artificial Intelligence for businesses to thrive without losing the personal approach to communication.
AI-powered video interview bots can help HR heads in saving manpower engaged in setting up interviews and evaluate candidates without human biases, even if only subconsciously.
AutoView is an AI-powered video interview bot with a human touch. It can rate the candidate's body language, facial expressions and voice emotions during the interview and make the assessment without any bias.
The machine learning-powered video interview and assessment tool can find out how many times a candidate smiled during the interview. And if there was excitement in the voice of the person and what was the level of engagement with the interviewer. Such traits are much needed in leaders, influencers or those in profiles involving personal interaction, such as sales, and customer service.
AutoView accommodates customized interview formats, flow and questions in minutes. Recruiters can benefit from its detailed analytics and scores support and make informed hiring decisions.
- Body language
- Emotional Intelligence
- Domain Knowledge
- Personal Characteristics
Users of AI and machine learning algorithms would agree that the agility of these tools at providing recommendations and decision-making support is unparalleled. They decipher patterns and build predictive models basis past successful hiring and performance data. They then apply these models to screen, grade and select the right fit candidate.
With the help of video analytics and natural language processing, video interview bots can automatically detect facial action units and analyse content relevance, structure and grammatical errors.
Bots can also derive interesting patterns from candidates' voice and words, which may miss out from a human eye. While listening to the candidate's answer, the bot can rate the situation and the grammar as well. Video bots also have a deep learning for accurate speech transcription for various accents, which can help in interviewing candidates across the world.
Benefits of automated interviews:-
- Dramatic reduction in hiring cost
- Time to hire can come down by 80%
- Process hundreds of candidates at a given time
- Take the bias out of interviews
- Standardized evaluation across geographies and interviewers
- Flexi interviews at candidate's comfort
- Evaluation and real-time scoring of video interview
The best part of automated interviews is the secure assessment delivery anytime, anywhere. Interviews can take place from anywhere - home, inside car or even the metro- by just using a mobile app. During video interviews, the computer or the bot asks questions and the candidates answer them with their mobile, tablets or PC camera on.
Aspiring Minds tools are used by 3000+ corporations and over 150 Fortune 500 companies globally across Technology, Banking and Financial Services, Business Services, Pharma, Hospitality, and Retail.
(Aspiring Minds is a pioneer in Artificial Intelligence and Data Science driven talent decisions.)
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