Systems design literature contains an empirical principle well known to engineering schools: expertise does not survive disuse. For decades, human factors analysts have warned that placing automation between the operator and physical materials creates immediate comfort that erodes the memory of the craft.<\/p>\n\n\n\n
When a tool handles all ordinary work without requiring attention, people disengage from the process. If the task remains stable, the organisation records productivity gains. But when conditions depart from expectations or the technical system fails, it may discover that its teams lack the practice needed to respond without a screen in front of them.<\/p>\n\n\n\n
In contemporary industrial history, the Boeing 737 MAX certification and control crisis exemplifies this organisational fracture.<\/p>\n\n\n\n
The development of the 737 MAX was shaped by objectives of commercial continuity and training commonality with earlier models. MCAS was introduced to modify certain aircraft handling characteristics; treating it simply as a replacement for manual training overlooks the design and certification problems examined by investigators.<\/p>\n\n\n\n
In its original design, MCAS could command stabiliser adjustments based on a single angle-of-attack sensor. That dependency and the assumptions about crews\u2019 responses formed part of a wider safety problem.<\/p>\n\n\n\n
The accidents showed the risk of unintended MCAS activation following erroneous data and repeated nose-down commands. The NTSB questioned assumptions about pilots\u2019 recognition and responses amid multiple alerts and recommended improvements to design, procedures and training. Those findings alone do not establish that the crews had lost skills through disuse.<\/p>\n\n\n\n
A program does not assume moral responsibility or replace the obligations of those who design, certify and operate a system. The organisational lesson is to examine design, oversight and training decisions together, without reducing an accident to a single cause or automatically assigning all responsibility to one committee.<\/p>\n\n\n\n
This pathology is entering corporate decision-making centres unnoticed as generative and advanced analytical tools become standard:<\/p>\n\n\n\n
Mature systems governance does not propose abandoning automation or returning to archaic procedures out of operational nostalgia.<\/p>\n\n\n\n
Instead, it requires the clarity to design organisations with cognitive redundancy: structures in which technical tools coexist with deliberate, periodic practice of unaided judgement.<\/p>\n\n\n\n
An institution\u2019s true strength is measured by the presence of professionals who retain the expertise, experience and independence of judgement needed to disconnect a machine, take manual control and answer for the consequences when the system goes into a tailspin, rather than by the speed with which algorithms resolve daily routines.<\/p>\n","protected":false},"excerpt":{"rendered":"
Operational judgement atrophy is the progressive deterioration of an organisation\u2019s analytical, intuitive and manual competence through sustained delegation to automated interfaces, depriving human decision-makers of the practical ability to check technical anomalies and take manual control under stress or unmodelled failure.<\/p>\n","protected":false},"author":2,"featured_media":380,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-379","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-knowing-how-without-the-tool"],"yoast_head":"\n