Written by: Team PredictiveHire
Introducing InterviewBERT: A world-first algorithm for better interviews
Sapia labs, our R&D department, has developed a world-first innovation that will help us deepen our understanding of the contextual meaning of words in written job interviews. Called InterviewBERT, this algorithm combines Google’s model for Natural Language Processing (NLP) with our proprietary dataset of more than 330 million words. BERT, meet Smart Interviewer. Together, they’ll usher in a new generation of pre-employment assessment tools and recruitment software solutions.
Put simply, InterviewBERT makes Smart Interviewer, the most sophisticated conversational Ai in the world. Ours is no simple chat-bot – already, Smart Interviewer is capable of discovering personality traits and communication skills, accurately and reliably, using a candidate’s written responses. With InterviewBERT, Smart Interviewer will learn more about candidates than ever before, faster than ever before. With this speed and accuracy also comes reductions to the unfairnesses and biases that plague the hiring process.
Why, and how, are we the first to transform pre-employment assessment technology with BERT?
Through sound Ai infrastructure, we have been able to accumulate a vast and accurate dataset. This dataset grows by the minute – we interview a new candidate every 30 seconds – and, coupled with the expertise of our Sapia labs team, we can assess candidate suitability for a role in milliseconds.
“The smartest companies know that the fairest and most accurate way to assess someone’s suitability for a role is through a structured interview,” our CEO, Barb Hyman, said. “Text increases accuracy and speed of assessing candidates, while removing biases that come through voice or video interviews.”
Dr Buddhi Jayatilleke, Chief Data Scientist and head of Sapia labs, said the team is excited at the finding that InterviewBERT had such a profound impact on trait accuracy.
“Written language encodes personality signals predictive of ‘fit’,” Dr Jayatilleke said. “The ability to understand people through language has limitless applications, and we are excited to keep inventing more ways to use language data for our customers.”
Dr Jayatilleke said decades of research had confirmed that language has long been seen as a source of truth for personality.
“What our R&D team has proven is just how powerful language data is when you combine it with enormous data volumes and scientific rigour,” he said. “This capability can be used for assessment and for offering personalised career coaching – a game changer for job seekers, universities, and employers.”
Sapia labs will present its findings from a new research paper, Identifying and Mitigating Gender Bias in Structured Interview Responses, at a SIOP symposium in April.