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Purpose

To identify catalysts for facilitation and enhancement of Affective Learning (AL) in Artificial Intelligence (AI) based diversity, equity, and inclusion learnings (DEIL).

Design/methodology/approach

A qualitative study included 17 semistructured interviews and triangulation validated the results.

Findings

The study found ten catalyst elements for facilitating and enhancing AL in AI-based DEIL.

Research limitations/implications

This study is conducted on a relatively small sample size, offering a valuable opportunity for future research to validate and generalize the findings to larger populations.

Practical implications

For learning and development, human resources, business managers, and AI professionals, this study proposes ten AL elements for facilitating the AI-based DEIL.

Originality/value

It contributes to the field of AI-based learning domain focusing on AL in DEIL.

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