Artificial Intelligence (AI) is changing the way that organizations assess and hire talent. These changes are happening rapidly yet with little guidance about how to effectively validate, implement, interpret, and use scores produced from AI-based assessments in this context. Therefore, the purpose of the current document is to provide scientifically based recommendations for the effective use of AI for assessing and hiring talent.

A key theme that emerges in this document is that AI-based assessments used to make hiring and promotion decisions require the same level of scrutiny and should meet the same standards that traditional employment tests have been subjected to for decades. However, the way that these standards are evaluated and met may be unique to AI-based assessments. Therefore, this document discusses the unique challenges and considerations that arise in the development, evaluation, use, and interpretation of AI-based assessments. To be clear, the aim here is to provide recommendations rather than mandates for the use of AI-based assessments. These recommendations are discussed in detail in the following five sections:

Section 1. AI-Based Assessments Should Produce Scores that Predict Future Job Performance or Other Relevant Outcomes Accurately

Section 2. AI-Based Assessments Should Produce Consistent Scores that Reflect Job-Related Characteristics (e.g., upon re-assessment)

Section 3. AI-Based Assessments Should Produce Scores that are Considered Fair and Unbiased Section 4. Operational Considerations and Appropriate Use of AI-Based Assessments for Hiring

Section 5. All Steps and Decisions Relating to the Development and Scoring of AI-Based Assessments Should be Documented for Verification and Auditing.

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