AI Ethics at
HireNext

HireNext uses AI to screen resumes, rank candidates, score assessments, and automate workflows for employers. We understand that AI in hiring can either enhance or harm the candidate experience. We take that responsibility seriously.

The AI ethics framework underpinning our approach rests on six core principles: Fairness, Transparency, Bias Prevention, Human In-The-Loop, Data Privacy, and Accountability. These principles guide every AI feature we build and deploy.

OPT-OUT: HireNext creates a smart AI that is explicitly trained to assess candidates based on job-relevant skills, experience, and qualifications, never on protected characteristics such as gender, race, age, religion, nationality, or disability status.

What Our AI Evaluates

• Relevant skills and technical competencies
• Years of experience and experience type, as relevant to the job description
• Required skills, certifications, and qualifications for the role
• Assessment performance and coding evaluation results
• Salary expectations within the range the role can accommodate

What Our AI Does NOT Evaluate

• Name, gender, and all demographic inferences
• Photo or physical appearance
• Age or date of birth
• Religion, nationality, or ethnicity
• Any characteristic protected by any applicable employment law

We think both employers and candidates have the right to know how AI-generated scores and recommendations are made. HireNext provides explainable AI outputs, with no black-box decisions.

AI models can learn and inherit biases from training data. HireNext takes preventative measures to identify, quantify, and mitigate bias in our AI systems:

• Training Data Audits: We regularly audit training datasets for demographic imbalances and historical hiring biases.
• Disparate Impact Testing: We check AI outputs in production for statistically significant disparate impact across protected groups.
• Ongoing Monitoring: Machine learning model outputs are monitored in production for drift and emerging bias patterns.
• Diverse Evaluation Teams: A diverse internal team is involved in testing AI models before release.
• Customer Configuration Guidance: We help employers set their screening criteria to avoid inadvertent discrimination.
• Feedback Loops: Both employers and candidates can flag AI outputs they feel are inaccurate or unfair, which initiates a review process.

HireNext AI is designed as a decision-support tool. No candidate should be rejected or advanced solely based on an AI score. HireNext AI surfaces information, highlights patterns, and flags risks, but humans make the final call.

• AI scores are presented as inputs to human review, not as absolutes.
• HR teams are not required to follow any AI recommendation and can override or adjust any suggestion.
• Automated pipeline stages require human configuration and decision-making.
• HR reviews all rejection communications before sending them — these are never auto-triggered by AI.
• There is no automatic disqualification. Suspicion scores are flagged for human review.

HireNext enforces robust data privacy protocols covering the collection, use, and storage of data for AI processing:

• No cross-customer data use: Candidate data from one employer is never used to train or influence another employer's AI models.
• No model training without consent: HireNext does not use customer data to train its AI models unless explicitly stated in the contract.
• Data minimization: AI models only access the data fields required for that specific evaluation task.
• Candidate transparency: Certain jurisdictions, including those under GDPR Article 22, require that candidates be notified when AI is used in the evaluation process.
• Right to explanation: Candidates have the right, when the law requires, to ask for justification of decisions based solely on automated processing that produces legal effects concerning them.

At HireNext, we have well-defined accountability structures in place for AI development, deployment, and monitoring:

• AI Ethics Review Board: An internal cross-functional team evaluates the ethical risks of new AI features before they are launched.
• Incident Reporting: A defined process exists for reporting and investigating AI-related harms or unintended outcomes.
• Regular Audits: Regular third-party audits of fairness, accuracy, and compliance of AI systems.
• Customer Responsibility: Employers using HireNext are responsible for ensuring their AI-assisted hiring is compliant with applicable employment laws in their jurisdiction.
• Regulatory Compliance: We keep track of upcoming AI regulations, such as the EU AI Act, NYC Local Law 144, and other relevant frameworks, to ensure our compliance.