Managing in the Age of Artificial Intelligence training in NeuchâtelSupervising AI-Assisted Work: What Automation Research Teaches Us

Supervising AI-Assisted Work: What Automation Research Teaches Us — SHR, Neuchâtel
Supervising AI-Assisted Work: What Automation Research Teaches Us — SHR, Neuchâtel

The manager reviewing a deliverable produced with AI does not face an unprecedented problem. Automation research has long described what happens to humans placed in supervision of a high-performing system.

The supervision trap

Raja Parasuraman and Victor Riley (1997, Human Factors) formalized the concepts of use, misuse and disuse of automation: a system that is reliable most of the time encourages stopping verification, and the error occurs precisely the day the system fails. Parasuraman & Riley, 1997

Automation surprises

Nadine Sarter, David Woods and Charles Billings (1997) described how operators lose track of what the automated system does and discover late an unexpected mode of operation. The problem stems less from competence than from the design of the human-machine interface.

Supervising AI-Assisted Work: What Automation Research Teaches Us — Neuchâtel, Neuchâtel
Supervising AI-Assisted Work: What Automation Research Teaches Us — Neuchâtel, Neuchâtel

What this changes for a manager

These studies concern aviation and industrial systems, not language models. But the mechanism — increasing trust, declining vigilance — is documented stably enough to be taken seriously in the tertiary sector. (our executive and employee training programmes)

The limits of general instructions

Asking everyone to 'remain vigilant' amounts to entrusting the burden of verification to individual goodwill. Under time pressure, it is the first expense sacrificed.

A practical implication, verifiable in Neuchâtel

In a team spanning microtechnology, watchmaking and applied research laboratories, define for each type of AI-assisted deliverable an explicit control point — a figure, a source, a sensitive phrasing — verified by a person different from the author. Counting errors intercepted over a quarter indicates whether supervision actually exists. An AI Training in Neuchâtel helps build this supervision framework. To go further: explore the Managing in the Age of Artificial Intelligence training in Neuchâtel in the canton of Neuchâtel, or browse our executive and employee training programmes in Switzerland. AI training in the canton of Neuchâtel.

In pictures: Managing in the Age of Artificial Intelligence in Neuchâtel

Managing in the Age of Artificial Intelligence training in Neuchâtel — in practice
Managing in the Age of Artificial Intelligence training in Neuchâtel — in practice
Managing in the Age of Artificial Intelligence training in Neuchâtel — hands-on workshop
Managing in the Age of Artificial Intelligence training in Neuchâtel — hands-on workshop
Managing in the Age of Artificial Intelligence training in Neuchâtel — on the ground
Managing in the Age of Artificial Intelligence training in Neuchâtel — on the ground