Tara Winstead (Pexels)
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Tara Winstead (Pexels)
Tara Winstead (Pexels)
HRM E-Portfolio
Artificial Intelligence in the Sourcing and Recruiting Process
Welcome to this HRM E-Portfolio on artificial intelligence (AI) in the sourcing and recruiting process. The objective of this website is to help users gain a better understanding of the advantages and disadvantages of AI in human resource management (HRM). Examples of how companies integrate AI into their sourcing and recruiting strategies will be explored, alongside the current successes and challenges associated with applying AI in the hiring process. Definitions of keywords that are important to understanding this topic will be explained. There will also be the usage of references from reputable primary sources, including Forbes, Harvard Business Review, and Wall Street Journal. A host of graphics and videos will be included to support the content being discussed.
AI and machine learning are rapidly evolving technologies that offer unique benefits to companies interested in creating more efficient talent acquisition processes. Nevertheless, the integration of AI into the recruiting process remains a controversial topic. Some experts consider AI to be helpful in streamlining the hiring process and reducing the time recruiters spend on repetitive tasks that do not add value to the candidate experience. Others deem AI to be a potentially biased technology that should warrant skepticism. To further understand the impact AI has had on the HR departments of companies, real-world applications of AI and machine learning in the current job market will be examined. Finally, considerations will be made about the future of AI in HR and what steps both recruiters and job seekers can take to use this information to inform themselves about the most effective hiring practices.
Important Keywords
Artificial Intelligence (AI)
"Refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions." - Investopedia
Machine Learning (ML)
"A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy." - IBM
Natural Language Processing (NLP)
"Refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can." - IBM
Chatbots
"A computer program that simulates and processes human conversation (either written or spoken), allowing humans to interact with digital devices as if they were communicating with a real person." - Oracle
Sourcing
"Identifying qualified individuals and labor markets from which to recruit." - Human Resource Management: An Applied Approach
Applicant Tracking Systems (ATS)
"A type of recruiting software that helps streamline the hiring process for an organization from beginning to end by handling tasks such as posting job openings to multiple job boards, storing applicant data, and screening applications for potential matches."
- BambooHR
Recruiting
"The set of practices and decisions affect either the number or the type of people willing to apply for and accept job offers." - Human Resource Management: An Applied Approach
Key Performance Indicators (KPIs)
"Refer to a set of quantifiable measurements used to gauge a company’s overall long-term performance versus a set of targets, objectives, or industry peers." - Investopedia