Last week, we discussed how more companies used AI to screen resumes and analyze job candidates’ performance in the initial interviews. We called for companies’ attention to the potential AI biases in hiring . This week, we will visit what job candidates can do to help AI pick us and recommend us for hiring. A. Writing a Resume Tailored to AI Screening First and foremost, job candidates must thoroughly research the job and the company to understand its job descriptions and organizational culture. From there, they can: Write the resume in Word and submit it as a Word document instead of a PDF file. Select a straightforward format and avoid using graphics, charts, or complex layouts that could confuse AI. Use headings effectively to help AI pick up the content it seeks, such as “Relevant Job Experience” and “Education.” Strategically pick the relevant keywords that match the job descriptions as the job candidates describe what they perform(ed) at work. Highlight their achievements at wo
Using computer programs to screen job candidates’ resumes is not a new HR practice among big corporates. AI accelerates the automation process for all companies in the selection process. More companies are using AI to evaluate job candidates’ performance in their initial interviews, such as word choice and cognitive abilities, in addition to screening their resumes. AI speeds up the hiring process AI can help companies speed up the hiring process because they usually receive hundreds or even thousands of job applications for a vacancy. It becomes unrealistic for companies to solely rely on “human eyes” to screen all resumes or perform as many live job interviews as AI would do. Research and industry reports have widely documented HR managers’ biases in their hiring practices. Now, when AI is helping HR managers make decisions, do companies still need to be mindful of potential biases during the hiring process? Understanding AI biases in hiring Firms providing such AI s