Ethics And Integrity In AI Use: What Learning And Development Teams And Educators Must Teach

"AI adoption is accelerating across industries, and Learning and Development (L&D) teams and educators across K-12 and higher education are racing to design training and instruction that help employees and students use new tools effectively. This is meaningful and important work. Addressing one overlooked but critical distinction, however, can help guide how curricula and training programs are designed. In supporting AI upskilling and coaching AI use, it is essential to distinguish between ethics and integrity."

"Many organizations and institutions launch AI ethics modules or units that introduce principles such as fairness, transparency, privacy, and responsible use. An ethic is a set of moral principles or values that guide how individuals or groups think, decide, and act. Teaching ethics helps AI users grapple with questions about what is "right" and "wrong" in human-AI interaction, and why those distinctions matter."

"However, the study of ethics alone does not teach learners how to behave with integrity when interacting with AI systems in real-world contexts. Where ethics outlines what is right, integrity reflects the commitment to live by those principles with honesty and consistency. This distinction becomes mission-critical as organizations increasingly rely on AI-generated content, recommendations, predictions, and insights. Without integrity, even ethical systems can be misused. Without ethics, integrity has no compass."

AI adoption is accelerating across industries, prompting Learning and Development (L&D) teams and educators to design training and instruction that help employees and students use new tools effectively. Ethical instruction introduces principles such as fairness, transparency, privacy, and responsible use to guide judgments about right and wrong in human-AI interaction. Integrity refers to the commitment to live by those principles with honesty and consistency in real-world contexts. Both ethics and integrity are necessary: ethics provides standards and a moral compass, while integrity ensures consistent, honest application of those standards. Training programs must teach principles and cultivate behaviors and mindsets that sustain responsible AI use.

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