AI-BASED SELECTION SYSTEM REVIEWS

Increase Effectiveness. Ensure Compliance. Mitigate Risk.

There are many potential benefits for employers deploying artificial intelligence-based selection procedures. However, there are many potential pitfalls, too. Working with DCI will help your organization increase the efficacy of your AI procedures while mitigating legal risk.

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How We Can Help

Employers looking to deploy an artificial intelligence system in their employment decision making process must consider a number of concerns, including gaining the most efficiency and utility out of the system, ensuring the model is free from unlawful bias, and being compliant with local, state, and federal requirements. DCI can comprehensively assess the AI selection procedure being deployed and provide recommendations to help get the most out of it, all while reducing legal risk.

What We'll Do

DCI will conduct an independent, expert review of your AI selection processes and documentation using our AI Audit Framework. This framework includes factors derived from long-standing laws and regulations, as well as emerging regulatory trends. DCI will also conduct quantitative analyses based on decades of experience using methods and statistics aligned to contemporary practices. A final report is provided complete with detailed results, heatmap visualizations, and recommendations for mitigating risks associated with the use of your AI selection procedure moving forward.

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Why DCI?

DCI's team of industrial-organizational psychologists and labor economists are recognized experts in various relevant areas, including bias audits, adverse impact analyses, independent expert reviews, job analyses, validation, and compliance with employment laws. We understand the complex regulatory landscape and how to apply established, widely-accepted methodologies to new AI selection procedures to ensure they are job-related and enhance their legal defensibility.

Find out more about other DCI services.

Selection Procedure Development & Validation

Design and validation of selection tools that are scientifically sound, legally defensible, and predictive of on-the-job success—helping you hire the right people, faster.

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Job Analysis Research

Targeted research using multiple methods, including observations, surveys, interviews, and literature reviews to define job requirements and identify the knowledge, skills, and abilities your workforce needs to be successful.

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Bias Audits of Automated Employment Decision Systems

Independent evaluation of algorithmic-based decision tools to ensure they support business goals, align with job requirements, and operate without adverse impact.

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