A joint BHU and MGKVP study warns that AI usage in private sector hiring in India may unintentionally increase discrimination due to algorithmic bias in applicant screening tools.
AI in Job Hiring: Risks and Benefits
A recent study jointly conducted by Banaras Hindu University (BHU) and Mahatma Gandhi Kashi Vidyapith (MGKVP) highlights concerns regarding the growing use of artificial intelligence (AI) in the selection process for private sector jobs in India. The research points out that while AI tools like Applicant Tracking Systems (ATS) and automatic resume screening software are increasingly adopted, they carry both benefits and risks.
Specifically, the study warns that AI can unintentionally increase discrimination in recruitment. Since these algorithms are often trained on historical hiring data, there is a significant risk of built-in biases which can affect fair employment opportunities. The findings reveal that 73 percent of large companies and 56 percent of medium-sized companies are using AI-based resume screening for various job positions.
This algorithmic bias may undermine the principle of equal opportunity in employment. The study urges stakeholders to be aware of these risks and to implement measures that mitigate discrimination in automated hiring systems.
What is the main concern raised by the BHU study about AI in job selection?
The study warns that AI tools in private job recruitment can unintentionally increase discrimination due to biased algorithms trained on past hiring data.
Which AI tools are commonly used in private sector hiring according to the study?
Applicant Tracking Systems (ATS) and automatic resume screening tools are widely used for candidate selection.
What percentage of companies are using AI-based resume screening?
73 percent of large companies and 56 percent of medium-sized companies reportedly use AI-based screening tools.
Why do AI algorithms pose a risk of bias in recruitment?
Because they are trained on historical hiring data, which may reflect past discriminatory practices, leading to algorithmic bias.
What impact might this AI bias have on employment opportunities in India?
It may reduce equal employment opportunities by discriminating against certain candidates based on biased screening.
Former Central University Employee | Education Content Specialist
554 pages written
Admission notices, exam updates and recruitment pages for Central University students, written from the official notices and announcements. Where the notice is online, the page links to it at the end.