You are here: Home / Internet Governance / News & Media / Banking on artificial intelligence: In hiring drive, Bots are calling the shots now

Banking on artificial intelligence: In hiring drive, Bots are calling the shots now

by Anjali Venugopalan — last modified Jul 02, 2019 05:38 AM
Algorithms analyse expressions, tone to check for traits such as confidence, anger in video interviews.

The article by Anjali Venugopalan was published in Economic Times on June 4, 2019, Sunil Abraham was quoted. Also mirrored on ET Tech.com.


The future of hiring is already upon us. Algorithms are analysing people’s expressions and tone of voice to check for traits such as “confidence” and “happiness” during video interviews. The robotic video assessment software is then used to hire candidates — customer service operators and assistant vice presidents alike — though the process comes with its own set of problems.

Axis Bank used algorithm-based video interviews — along with aptitude tests — to hire around 2,000 customer service officers from a pool of more than 40,000 applicants this year, said Rajkamal Vempati, HR head of the private sector bank, adding it could standardise and scale up the process of hiring.

HR managers only gave offer letters, he said.

Nirmal Singh, CEO of Wheebox, a division of PeopleStrong which carried out the hiring, said it trained the face-indexing software — sourced from Microsoft — using around 50,000 candidates who had applied to Axis Bank in 2017. The software picked up emotional states such as “nervousness” and “happiness” based on eye movements, expressions and tone of voice and marked the candidates, Singh said. Scores from candidates who were shortlisted were used to come up with the “cutoff ” for these traits. Nirmal Singh, CEO of Wheebox, a division of PeopleStrong which carried out the hiring, said it trained the face-indexing software — sourced from Microsoft — using around50,000 candidates who had applied to Axis Bank in 2017. The software picked up emotional states such as “nervousness” and “happiness” based on eye movements,expressions and tone of voice and marked the candidates, Singh said. Scores from candidates who were shortlisted were used to come up with the “cutoff ” for these traits.

Insurance provider Bajaj Allianz has hired more than 1,600 people, including underwriters and assistant vice presidents, with the help of robotic video assessments that analysed behaviour, said Vikramjeet Singh, chief HR officer, adding it could help reduce human bias. Insurance provider Bajaj Allianz has hired more than 1,600 people, including underwriters and assistant vice presidents, with the help of robotic video assessments that analysedbehaviour, said Vikramjeet Singh, chief HR officer, adding it could help reduce human bias.

Concerns over Software's Biases

Talview, a Palo Alto-headquartered company with operations in Singapore and the United States, provided the assessment for the insurer.

The software, sourced from Microsoft and IBM, can analyse states such as “anger” and “happiness” from expressions, “confidence” from voice tone and traits like “ability to work ina team” and “decisiveness” from text analysis, according to Rajeev Menon, chief product officer, Talview.

Candidates may be able to beat questionnaires by giving expected answers to questions like “Can you work in a team?”, but video assessments pick up on subtleties in expression and vocabulary, and cannot be gamed, Menon said.Be that as it may, Amazon.com scrapped its artificial intelligence-based recruiting system after it found the AI system biased against women, according to an October 2018 report by Reuters.

The AI system was drawing on data from the past, where more men had made it into the company than women.“If you can fool a human, you can fool a computer,” said Sunil Abraham, executive director of Centre for Internet and Society.Recruitment algorithms could “homogenise the emotional economy” by forcing people to act a certain way, he said.

Since the software is based on expressions and tone of voice, it could disadvantage less expressive people, like those who are autistic, said Wheebox’s Singh.

Facial recognition by companies such as IBM, Microsoft and Amazon got the gender of a dark-skinned woman wrong one out of three times (20-35% error rate), a 2018 study by MIT researcher Joy Buolamwini found. For white males, the error was 0.8%.

Video Assessments

Facial recognition has nothing to do with video analytics, Wheebox’s Singh said. The two are, however, closely linked, said Animashree Anandkumar, professor of computing andmathematical science at California Institute of Technology.

She said such software was “deeply problematic”, as it could correlate wrong factors (likegender or skin colour) and show that as the cause for success. It is possible dark-skinned people would be disadvantaged, said Menon of Talview. Thecompany uses facial expression as just one input among many and gives it a low weightage, he said.The software they use is only 39% accurate, and will improve with more data, said and will improve with more data, said Ridhima Gauba, co-founder of Interview Air, a Navi Mumbai-based company that provides a similar service to companies and colleges.

Companies also say video assessments are a risky business.

Bajaj Allianz does not use video assessments for recruitments beyond middle management.  It is “important to see a person physically” when hiring for senior positions, said Asha Sharma, manager (corporate HR) of Everest Industries.

The company, however, uses pre-recorded video interviews — where the computer asks questions — to hire juniors from campuses, she said.