AI Accountabikity, Ethics, Integrity, Apologies, Culture, Prompting | Emily Tell, EMBA

AI systems are touching every corner of organizational life, so we need a deliberate approach that keeps people at the center as we scale automation and intelligence.

Accountability begins with embedding ethical guardrails into product planning, defining the data flows that require human review, and setting up dashboards that surface risk signals before they snowball.

Integrity also means owning mistakes promptly and crafting apologies that repair trust, especially for communities who bear the brunt of biased outputs or inaccessible experiences.

Prompts guide model behavior, so cultivating a culture of thoughtful prompting and cross-functional critique ensures teams model the values they expect their AI companions to express.