Artificial intelligence (AI) is playing a greater role than ever in the workloads of HR and talent acquisition professionals. This technology — which includes machine learning (ML), deep learning (DL), and natural language processing (NLP) — can improve the candidate experience, increase efficiency and cost savings, and enhance data analysis and insights. But how can you use AI to achieve these goals? And what challenges might you face when incorporating AI into your recruitment processes?
Leveraging AI to Improve Candidate Experience
AI can optimize the candidate experience by filtering job positions on your website based on an individual’s experience, expertise, and requirements. It can also automate job applications and benefit job seekers in other ways. Here’s how to leverage AI for more successful recruitment workflows.
Understanding AI’s role in candidate experience
Before incorporating AI into your HR and talent acquisition processes, it’s essential to understand how this tech improves the candidate experience and its limitations. For example, AI algorithms can make it easier for candidates to move through your hiring workflows. However, it can only work with the data that candidates input into AI tools. For example, AI tools on your website can’t recommend job positions if candidates don’t provide their experience and skills.
You should also understand how various AI technologies serve different purposes for improving the candidate experience. Analytics tools that utilize machine learning, for example, generate insights about candidates for job positions, helping you provide more personalized services to job seekers. Artificial intelligence website builders, on the other hand, add AI functionality to your site, enabling candidates to automate tasks like applying for a job.
How to use AI to optimize the recruitment process
AI improves the recruitment process for candidates by automating various tasks associated with finding a job at your company. For example, using an AI website builder can pre-populate an application form for a job role based on information from a candidate’s resume. That saves the job seeker time and makes it more likely they will complete and submit their application, improving your HR and talent acquisition goals. Alternatively, you can incorporate a chatbot into your site to answer common questions about job positions without human involvement.
Identifying ways to make the recruitment process more efficient and user-friendly
Define objectives and parameters for AI before integrating this technology into your workflows. You should determine how you will use AI to make the recruitment lifecycle easier for candidates to complete. That might include choosing the right AI technologies, platforms, and algorithms for your needs and testing AI tools like website builders, chatbots, and virtual agents before presenting them to job seekers.
Benefits of Leveraging AI
Here are some advantages of using AI for HR and talent acquisition:
Increased efficiency and cost savings
AI increases efficiency by removing the pain points of applying for a job at your company. For example, instead of spending hours filling out an application form, candidates can benefit from pre-populated fields and suggested answers to application questions, speeding up the time required to apply for a job. AI can also increase cost savings by reducing HR resources in your organization. HR and talent acquisition professionals don’t need to manually answer questions from candidates when AI provides them with extensive, customized resources based on their job requirements. For example, job hunters can learn more about your salary, benefits, or company culture through chatbot technologies, in which robots communicate with candidates in real time, reducing human labor.
Improved candidate experience
AI optimizes the candidate experience by speeding up communication between HR teams and candidates through AI-based email marketing platforms. In addition, AI assessment tools streamline the application and screening process, and chatbots provide job seekers with information needed to apply for a job at your company. Although AI technologies require an outlay, you can generate a return on investment by increasing candidate satisfaction during recruitment workflows.
Enhanced data analysis and insights
AI algorithms in analytics tools collect various data sets about how candidates engage with HR and talent acquisition professionals. Data can include the time required for candidates to complete an application or how long they wait for answers to questions about a job role at your company. Use these insights to fine-tune your hiring workflows and improve recruitment outcomes.
Challenges of Leveraging AI
AI is still a relatively new technology and poses various risks to your organization. These risks include:
Potential legal concerns
AI can have an implicit bias, mainly because humans, with their own biases, create algorithms required for this technology. For example, an AI applicant screening tool could discriminate against some job seekers and violate laws like the Civil Rights Act, resulting in legal implications for your business.
Need for proper training and guidance
HR and talent acquisition professionals require adequate training and guidance when embracing AI. Otherwise, this technology can hinder, not help, hiring outcomes. Training professionals to use AI technologies also requires an outlay, potentially making AI adoption an expensive proposition for your business.
Conclusion
Candidates, as well as HR and talent acquisition professionals, can benefit from AI technologies such as AI assessment tools, AI-driven analytics platforms, and chatbots. However, you should learn how to leverage AI and identify ways to make recruitment processes more advantageous for everyone involved. The benefits of AI for improving the candidate experience include improved efficiencies and cost savings. But you need to realize the challenges of this technology and mitigate risks to your organization.
How Bayard Can Help
Bayard improves the candidate experience by combining AI-generated responses with real-life scenarios and in-depth insights of Bayard’s subject matter experts.
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