AI Governance Begins With Honest Names

The words used for technology are not decorative. Calling a system a tool, tutor, assistant, agent, companion, oracle or super intelligence shapes what people expect, what leaders delegate, which failures they tolerate and who remains responsible when something goes wrong.

Inflated language can make statistical performance sound like understanding, confident output sound like knowledge and automated responsiveness sound like relationship. Diminishing language can conceal real capability and prevent necessary safeguards. Responsible institutions must avoid both errors.

AI governance therefore needs semantic accountability: system identity → task → observed capability → evidence → limitation → permitted role → accountable human → verification → correction → review.

The governing question is not which label creates the greatest excitement or reassurance. It is whether the language enables learners, workers, citizens and congregants to understand what the system can do, what it cannot establish and who must still answer for the result.

Reuters reported at 20:08 UTC on 6 October—23:08 in Nairobi—that the United States Department of Justice had directed employees to use super intelligence and SI instead of artificial intelligence and AI in most official contexts, including court filings when appropriate. The instruction followed a presidential executive order. Reuters

Executive Order 14434, signed on 29 September and published in the Federal Register on 2 October, directs executive agencies to make the terminology change in correspondence, public communication, websites,…