How to Configure Your AI Phone Screening to Reduce Bias in 2026

In 2026, organizations are under increasing pressure to ensure their hiring processes are equitable and free from bias. A recent study by the Society for Human Resource Management revealed that 62% of HR leaders believe bias in recruiting is a significant barrier to achieving diversity goals. The good news? Configuring your AI phone screening can significantly reduce bias in just 30 minutes. This guide provides actionable steps to ensure your AI-powered process is effective and fair, enhancing candidate experience and improving diversity.

Prerequisites for Effective Configuration

Before diving into the configuration process, ensure you have the following:

• Accounts: Access to your AI phone screening platform (e.g., NTRVSTA).
• Admin Access: Required permissions to modify settings and algorithms.
• Time Estimate: Set aside approximately 30 minutes for this configuration process.

Step-by-Step Configuration Process

Step 1: Access the AI Settings

Log into your AI phone screening platform. Navigate to the "Settings" tab and locate the "AI Configuration" section.

Expected Outcome: You should see options for customizing AI parameters related to candidate evaluations.

Step 2: Adjust Bias Detection Algorithms

Within the AI Configuration section, look for bias detection settings. Enable features that assess language patterns and candidate responses for potential bias indicators.

Expected Outcome: The system should now flag language or criteria that could lead to biased assessments.

Step 3: Implement Diverse Candidate Profiles

Set parameters to include diverse candidate profiles in the AI's training data. This may involve uploading anonymized resumes and interview transcripts that represent a variety of backgrounds.

Expected Outcome: The AI begins to learn from a broader range of candidate experiences and qualifications.

Step 4: Customize Questioning Techniques

Refine the questions your AI will ask during phone screenings. Focus on skills and competencies rather than demographic information.

Expected Outcome: The AI will prioritize relevant qualifications over potentially biased factors.

Step 5: Run a Test Screening

Conduct a test screening with a diverse set of candidates. Review the AI's scoring and feedback for potential biases.

Expected Outcome: You will identify any areas where the AI may still exhibit bias and can make further adjustments.

Troubleshooting Common Issues

1. AI Misinterpretation of Responses: Ensure your questions are clear and unbiased. Adjust language if necessary.
2. Low Candidate Engagement: If candidates drop out of the screening, revise the questioning format to be more engaging.
3. Integration Issues with ATS: Verify that your AI platform integrates smoothly with your ATS (e.g., Greenhouse, Lever).
4. Inconsistent Scoring: Regularly review and recalibrate the scoring algorithms to ensure they reflect the desired competencies.
5. Data Privacy Concerns: Ensure compliance with GDPR and other data protection regulations when handling candidate data.

Timeline for Configuration

Most teams complete this configuration in about 30 minutes, with additional time allocated for testing and adjustments.

Conclusion: Key Takeaways for Reducing Bias

1. Leverage AI Settings: Utilize built-in bias detection features to enhance your screening process.
2. Focus on Skills: Design your questioning to assess competencies rather than demographic details.
3. Regular Testing: Conduct periodic reviews of AI performance to identify and mitigate any biases.
4. Integrate Wisely: Ensure seamless integration with your ATS to maintain a smooth candidate experience.
5. Stay Informed: Keep abreast of evolving best practices and compliance regulations to ensure your AI screening remains effective and equitable.

By following these steps, your organization can effectively configure AI phone screening to reduce bias, fostering a more inclusive hiring environment.