Department:
AI Tool Name:
Project Lead:
AI Tool Evaluation & Selection
Clarify what problems AI will solve such as reducing time-to-hire, improving candidate quality, or eliminating bias
Evaluate available AI platforms based on features, integration capabilities, compliance certifications, and vendor reputation
Request bias audit reports from vendors and verify the AI tool has been tested for disparate impact across demographic groups
Test the AI tool with a small cohort of roles to evaluate accuracy, candidate experience, and hiring outcomes
Implementation & Integration
Configure the AI platform to work seamlessly with your applicant tracking system for data flow and candidate management
Provide comprehensive training on how to use the AI tool, interpret its outputs, and override recommendations when needed
Configure the AI to screen resumes and score candidates based on the criteria aligned with your job requirements
Define at which stages a human recruiter must review and validate AI-generated recommendations before proceeding
Compliance & Ethics
Ensure adherence to emerging AI hiring laws such as NYC Local Law 144 and similar regulations in your operating jurisdictions
Inform candidates when AI tools are used in the screening or assessment process as required by law and best practice
Schedule annual or semi-annual independent audits to evaluate the AI tool for adverse impact and discriminatory patterns
Document how AI recommendations influenced hiring decisions to support compliance audits and potential legal inquiries
Monitoring & Optimization
Monitor key metrics such as screening accuracy, time savings, candidate satisfaction, and quality of hire improvements
Collect input from users and applicants on their experience with AI-driven processes to identify improvement areas
Use post-hire performance data to improve the AI's predictive accuracy and adjust scoring algorithms over time
Follow industry developments, attend conferences, and engage with peer networks to keep the AI strategy current
An AI recruiting checklist is a tool that provides a guide on how human resource departments should responsibly incorporate the use of AI tools into their hiring processes. As organizations increasingly adopt AI, this checklist helps account for sourcing, screening, and scheduling, enhancing rather than undermining fair hiring practices.
There are many benefits to using AI tools to support the recruitment process, but there are also some disadvantages associated with the use of these tools, such as bias and privacy infringement. Using the AI recruiting checklist will help HR and talent acquisition departments avoid these challenges and ensure compliance with legislation like New York City's Local Law 144 and the EU AI Act.
This checklist contains the following areas, which include the criteria for AI recruiting tool vendor selection, requirements for a bias audit, procedures for giving notice and consent to candidates, human override procedures, data protection and retention policies, compliance with AI hiring legislation in your jurisdiction, performance monitoring, and employee training on using AI responsibly. Also covered is the process of combining AI recruiting tools with ATS.
Use the Brief version for a quick audit of your current AI recruiting processes and the detailed one if you want to evaluate the AI recruitment vendors or undergo a bias audit. Customize the compliance section according to AI recruiting legislation in your jurisdiction. Download this free checklist and share it among relevant parties in your organization, including IT, legal, and recruitment departments.
Rakesh Kumar Karthikeyan is Vice President of Recruiting Partners at Hyring, where he builds and scales the company's US recruitment business. He leads Hyring's US recruiting team and a growing network of freelance recruiting partners, owning client acquisition, partner development, delivery, and growth strategy.
Expertise
Adithyan RK is the Co-Founder and CEO of Hyring, an AI-native recruitment platform that has run over 900,000 AI interviews for companies ranging from early-stage startups to the Fortune 500. He has spent 18 years building technology businesses, starting with a digital consultancy in 2008 and a staff augmentation firm in 2017, before founding Hyring in 2022 to rebuild hiring around evidence instead of guesswork.
Expertise