To begin using AI in the recruitment process, start by building a clear AI strategy within your talent acquisition workflow before you start implementing AI recruitment tools.
Review your hiring process and identify where automation and AI agents can be most impactful versus what tasks are best left to talent acquisition professionals.
After identifying where AI can fit into your workflow, document a new process that clearly breaks down responsibilities between AI tools and talent acquisition professionals. Make sure to incorporate frequent checkpoints throughout the process for human oversight, including reviewing resume screening and candidate communications.
Once a process is in place, build a foundation of governance to ensure ethical AI practices, data security and compliance with any state laws regulating the use of AI in hiring. As part of your governance strategy, plan to test and audit your AI systems regularly to identify and correct bias that may be creeping into your algorithm. This will allow you to continue improving your models for the best results.
Human resource information systems (HRIS) help HR and talent acquisition teams examine employee data to understand workforce gaps and opportunities. HRIS tools can support larger hiring strategies and guide recruitment and succession planning.
Throughout this process, make sure you’re providing your talent acquisition team with the appropriate training not only to use AI recruitment tools to the best of their abilities, but to understand their limitations. This will help your team build a recruitment and hiring process that prioritizes strategy, critical thinking and fairness.
As AI becomes increasingly integral to the hiring process, organizations must navigate new challenges around bias, transparency, compliance and candidate trust.
Using AI in recruitment comes with the risk of algorithmic bias. These are systematic errors that exist within machine learning algorithms that can perpetuate discrimination toward candidates based on socioeconomic, racial and gender biases, along with others.
Perceived bias also means that trust of AI among job candidates remains low. Sixty-six percent of U.S. adults say they would avoid applying for jobs at companies that use AI in hiring decisions, and 79% of candidates want transparency when AI is used to evaluate them.
These risks of bias and their consequences make talent acquisition professionals more accountable for a fair hiring process, not less. Human judgment is critical for evaluating context, building trust, identifying leadership potential, promoting organizational fit and maintaining ethics during hiring decisions that AI cannot reliably assess. Organizations must determine where in the hiring process human judgment, oversight and relationship-building create the greatest value and ensure there is constant human oversight when AI recruitment tools are used.
Aston Carter helps organizations adapt to the future of recruiting. We’ll work with your team to create custom HR and talent acquisition staffing solutions that help contain costs, drive efficiency and attract top talent.
We can connect you to highly skilled talent acquisition professionals with experience using AI in recruitment and predictive analytics work to start implementing change within your organization. Contact us today to start reshaping your talent acquisition experience.