AI could make recruitment less painful

Indeed, the job site, has found that over 50% of Singaporean job-seekers are keen to see artificial intelligence (AI)-driven technologies make  job searches more efficient and effective.

The research, conducted in December 2017, revealed that job seekers believe AI can minimise hiring biases and instead, focus recruitment efforts on matching candidates to the skills and experience needed for a role.

For example, hirers can make a skills-led decision on job candidates by leveraging AI’s natural language processing capabilities to comb through text-heavy resumes and pinpoint critical information. The same technology can be used by job seekers on platforms like Indeed.com, where the use of AI and related algorithms can filter jobs that best match a candidate’s resume. This saves them time, instead of having to scour hundreds of job ads to identify those of the right fit.

Indeed’s Senior Director, Asia Pacific, Andrew McGlinchey said that understanding the candidate is key to making hiring processes more effective*. McGlinchey said, “As employers seek out the best talent to fill roles, HR practitioners have relied on a mix of tools and approaches for greater efficiency. AI has a special part to play in this process, by helping hirers filter through hundreds of resumes, minimising time spent on cumbersome recruitment processes and selecting candidates in a more objective manner.

"However, while AI is a great first-level qualifier, it does not take away the importance of human interactions in the overall hiring process. The traditional interview is still an important channel for recruiters to shape the candidate experience in order to instill trust and inspire loyalty right at the outset. After all, hiring is a two-way process that requires both job seekers and hirers to determine the right fit for both parties.”

*Editor's note: AI can potentially bring a lot of good to recruitment but is only as good as the rules it is given to start with, and the datasets it is trained on. AI tools can be ineffective because of biased coding or the use of incomplete datasets. It remains to be seen exactly how objective they can be.