It is quite right to say that AI has become an integral part of human resources. All credit goes to technology for complete transformation in the recruitment process. And it is evident from the fact that recruiters are seeing a massive reduction in their workload.
The reason recruiters are using AI is:
- It eliminates bias.
- It speeds up the recruitment process.
- It enhances the candidate experience.
Here’s how AI is already being deployed across the recruiting process:
1. Chatbots
One of the best creations of AI, chatbots take away most of the recruiters’ work by screening candidates, asking them questions, and answering their queries. They speed up the recruitment process and deliver a positive candidate experience through prompt replies.
- Automating tasks: AI can automate many tasks involved in the recruiting process, such as screening resumes, scheduling interviews, and sending follow-up messages. This can free recruiters to focus on more strategic tasks, such as sourcing candidates and building relationships with hiring managers.
- Providing personalized service: AI can provide personalized service to candidates by answering their questions, providing information about the company, and guiding them through the recruiting process. This can help candidates feel valued and appreciated, making them more likely to want to work for the company.
- Improving efficiency: AI can enhance the efficiency of the recruiting process by reducing the time it takes to find and hire qualified candidates. This can save the company money and help it to get ahead of the competition.
- Making the recruiting process fairer: AI can make the recruiting process fairer by eliminating human bias. This can help to ensure that all candidates are evaluated on their merits, regardless of their background or demographic characteristics.
A few popular chatbots are Mya, Olivia, Hiretual, and Jobvite Engage.
2. Resume Parser
A parser can never be outdated. It is an excellent way to sort out resumes. Extracting data from resumes and saving the info in data fields is what it does. There is no need to go through each resume manually. You can speed up your recruitment process by using this software.
- Identifying keywords: AI can be used to identify keywords in resumes relevant to a particular job opening. This can help recruiters and hiring managers quickly identify candidates who fit the role well.
- Scoring resumes: AI can score resumes based on various factors, such as the candidate’s experience, skills, and education. This can help recruiters and hiring managers rank candidates and make more informed hiring decisions.
- Matching resumes to jobs: AI can match resumes to jobs that fit the candidate’s skills and experience well. This can help candidates find jobs that they are qualified for and are interested in.
3. Write Perfect Job Descriptions
A job description is the first step to attracting candidates. Make your job descriptions clear, precise, and easy to understand. Use a JD parser to help the candidate easily understand the description.
- Data-driven: AI job descriptions can be data-driven using information from previous job descriptions, employee surveys, and other sources. This data can help AI identify the most important skills and experience for the role and the most effective way to communicate these requirements to potential candidates.
- Personalized: AI can also personalize job descriptions to the specific needs of each candidate. This can be done by using information from the candidate’s resume, LinkedIn profile, and other sources. For example, an AI can identify the skills and experience the candidate has most relevant to the role. It can also identify the candidate’s interests and goals. This information can be used to create a job description tailored to the candidate’s needs and interests.
- Engaging: AI can also write job descriptions that are engaging and enjoyable to read. This can be done by using clear and concise language, as well as by using active verbs and positive language. It can also be done by using storytelling techniques and highlighting the role’s benefits.
- Bias-free: AI can also be used to write bias-free job descriptions. This is important because bias in job descriptions can discourage qualified candidates from applying for a role. For example, an AI can be trained on a dataset of job descriptions that are free of bias. This will help the AI identify and avoid biased language in the job descriptions it writes.
4. Video Interviews
What to do if you want to have a face-to-face interview with a candidate who lives in another state or country and cannot visit your office? Video interviews are the answer to this challenge. It allows you to judge a candidate’s behavior, communication skills, and reactions to situational questions. A fantastic way to judge the speech patterns and facial expressions of candidates.
- Automated scheduling: AI can automatically schedule video interviews based on the availability of the interviewer and the candidate. This can save time and effort for both parties.
- Question generation: AI can generate interview questions based on the job description and the candidate’s resume. This can help ensure that the interview focuses on the relevant topics and the questions are unbiased.
- Analysis of nonverbal cues: AI can analyze nonverbal cues, such as facial expressions, body language, and tone of voice, to assess the candidate’s suitability for the role. This can provide additional insights into the candidate’s personality and fit for the company culture.
- Feedback: AI can be used to provide feedback to candidates on their performance in the video interview. This can help candidates to improve their interviewing skills and increase their chances of getting hired.
5. Virtual Reality
This concept is gaining popularity. Give a real-time experience to candidates about the company culture and environment in which the candidate has to work. This method is quite helpful for candidates to decide if they want to join the company. What a fantastic hi-tech fashion way to let the candidate take the feel of your office by sitting in just one place!
- Object recognition: AI can recognize objects in VR environments, such as furniture, tools, and other objects. This can be used to improve the realism of VR experiences and to make it easier for users to interact with objects in VR.
- Spatial awareness: AI can be used to track the user’s position and orientation in VR, which can improve the user’s immersion in the VR experience.
- Natural language processing: AI can be used to understand natural language input from users, which can be used to control VR experiences and provide feedback to users.
- Content generation: AI can generate content for VR experiences, such as 3D models, textures, and sounds. This can help to reduce the cost of creating VR experiences and to make it easier for developers to create high-quality VR content.
6. Predictive Analytics
How about knowing how candidates will perform when they become employees? Predictive Analytics help in identifying the future behavior of candidates. Based on this approach, it becomes easy to make hiring decisions.
- Data mining: AI can be used to mine data for patterns and trends that can be used to predict future outcomes.
- Machine learning: AI can be used to train machine learning models to predict future outcomes based on historical data.
- Natural language processing: AI can be used to understand natural language data, such as customer reviews, social media posts, and customer support tickets, to identify trends and patterns that can be used to predict future outcomes.
- Computer vision: AI can be used to analyze images and videos to identify objects, people, and events that can be used to predict future outcomes.
Every organization looks at increasing its productivity and generating better results. With AI, the sky is the limit for us. Let’s wait and see more innovations that are on their way as AI is all set to dominate the recruitment industry.
Lovepreet Dhaliwal works with RChilli Inc, a leading resume-parsing software provider that helps speed up your recruitment process.
