AI in Recruitment?

Introduction 

Artificial Intelligence has been the source of profound change across different sectors, but not least among them, the field of recruitment. Organizations will utilize AI technologies, meaning that the recruitment process can be less lengthy and more efficient for the candidates, and they can make better-informed hiring decisions (Hupfer, 2020). 

1. Candidate sourcing and screening

AI-based systems are able to execute the first phase of the recruitment process where the resumes and job applications are screened. The AI will filter and exclude the unqualified candidates from the list, and the most prominent ones, based on the given criteria, will be highlighted. This helps recruiters considerably because they could concentrate on the best for the job candidates instead of wasting their time and effort (Tambe 2017).

2. Chats bots and virtual assistants 

AI systems and virtual agents can be resourceful throughout the entire recruitment process. These AIs are able to provide answers to frequently asked questions, job updates, and provide guidance to the applicants, the process can be assisted through necessary steps. It contributes to the creation of a positive candidate experience and minimizes the amount of work that goes to the recruiter's side (Polli, 2019).

3. Video interviewing and analysis 

AI-enabled video interviewing can analyze candidates' facial expressions, body language, and speech characteristics to determine their communication skills and emotional intelligence and whether this is the right candidate for the job. This offers an opportunity for information beyond resume screening habits (McCann, 2022). 

4. Diversity and bias reduction 

AI has the power to identify and erase unconscious biases in the hiring process through model language examination in the job descriptions, comparative evaluation of job applicants' skills, and the ability to ensure equally objective and consistent assessment of all candidates (Dipesh, 2023).

                                                                    source : (MeBeBot, 2019)

AI, as the new era in recruitment, indeed brings several benefits; at the same time, designers and users should be determined to maintain standards and transparency of the systems. Furthermore, AI should complement rather than substitute for human opinion, specifically in the last stages of the hiring process (SHRM, 2022).

Conclusion 

AI can be a powerful tool that will change how companies find candidates, ensure fast and comprehensive screening processes, give insights, reduce biases, less time consumption and increase the probability that the right person gets the right job. It is also noteworthy that AI tools should have human supervision must be maintained to innovate AI implementation ethically.

Reference 

Dipesh , M. (2023). 6. Bias Reduction: How AI can help in mitigating unconscious bias in recruitment. [online] www.linkedin.com. Available at: https://www.linkedin.com/pulse/6-bias-reduction-how-ai-can-help-mitigating-mistry-bsc-mba#:~:text=By%20analyzing%20past%20data%20and.

McCann, F (2022). Video Interviews and the Role Artificial Intelligence (AI) Plays. [online] Graduates First. Available at: https://www.graduatesfirst.com/how-do-video-interviews-use-artificial-intelligence.

Hupfer, S. (2020). Talent and workforce effects in the age of AI. [online] Deloitte Insights. Available at: https://www2.deloitte.com/xe/en/insights/focus/cognitive-technologies/ai-adoption-in-the-workforce.html.

MeBeBot (2019). How will HR budget for Artificial Intelligence (AI) solutions in 2020? [online] MeBeBot. Available at: https://www.mebebot.com/how-will-hr-budget-for-artificial-intelligence-ai-solutions-in-2020/.

Polli, F. (2019). Using AI to Eliminate Bias from Hiring. [online] Harvard Business Review. Available at: https://hbr.org/2019/10/using-ai-to-eliminate-bias-from-hiring.

SHRM (2022). Fresh SHRM Research Explores Use of Automation and AI in HR. [online] www.shrm.org. Available at: https://www.shrm.org/about/press-room/fresh-shrm-research-explores-use-automation-ai-hr.

Tambe, P. and Ye, X. (2017). Sourcing and Screening High-Tech Workers. [online] Available at: https://web.archive.org/web/20210815083447id_/https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1031&context=icis2017.