ARTICLE / LESSON
“Ethics is a set of moral principles which help us discern between right and wrong…”
IBM defines AI ethics as a multidisciplinary framework guiding the design, development, and deployment of artificial intelligence systems to ensure they benefit society while minimizing risks. The company emphasizes principles such as fairness, transparency, accountability, and privacy, aiming to foster trust and mitigate potential harms associated with AI technologies. IBM
To operationalize these ethical principles, IBM has established an AI Ethics Board comprising diverse leaders from across the organization. This board oversees AI use cases, ensuring alignment with IBM's ethical standards and evolving regulatory landscapes. Additionally, IBM has developed resources like the "Everyday Ethics for AI" guide, which outlines key focal areas—accountability, value alignment, explainability, fairness, and user data rights—to assist teams in implementing ethical AI practices throughout the system lifecycle.