Escalated Gibberish™ is any information shared to enable decision making, but the decision-maker cannot personally affirm that the shared information reflects its intended original meaning and appreciates the decision risks of using the shared information.
AI-driven integration risks are compounded when poor information drives decisions.
Problem: Decisions are only as good as the inputs; ambiguous or distorted information creates hidden risk.
Application Method: A four-element pre-gate that validates meaning, context, and decision risk acknowledgement before approval.
Controls: source/meaning verification, assumption logs, risk acknowledgment, independent challenge (anti-bias).
Deliverables: Pre-gate checklist, decision memo template, sign-off workflow.
Executive outcomes: fewer reworks; clearer accountability; lower “unknown-unknowns.”
Element 1: Does the shared information satisfice based on bounded rationality?
Element 2: Does the shared Information violate contextual integrity?
Element 3: Does the shared Information avoid myopic interpretation?
Element 4: Has the decision-maker personally affirmed an appreciation of the decision risks of using the shared information?
These four elements collectively form the operational structure for assessing Escalated Gibberish™ as a pre-screening gate for decision making. Failure to satisfy any of the four elements means that the shared information offered to be used in the decision-making process should be regarded as Escalated Gibberish™.