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

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

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 users to stop verifying, and error occurs precisely when the system makes a mistake. Parasuraman & Riley, 1997

The '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 — Fribourg, Fribourg
Supervising AI-Assisted Work: What Automation Research Teaches Us — Fribourg, Fribourg

What This Changes for a Manager

This research concerns aviation and industrial systems, not language models. But the mechanism — increasing trust, decreasing 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 Geneva

Within a team spanning bilingual SMEs, agribusiness and public services, define for each type of AI-assisted deliverable an explicit control point — a figure, a source, a sensitive formulation — verified by a person different from the author. Counting errors intercepted over a quarter indicates whether supervision actually exists. An AI Training in Geneva helps build this supervision framework. To go further: explore the Managing in the Age of Artificial Intelligence training in Fribourg in the canton of Fribourg, or browse our executive and employee training programmes in Switzerland. AI training in the canton of Fribourg.

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

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