Managing in the Age of Artificial Intelligence training in Geneva · canton of GenèveSupervising AI-Assisted Work: What Automation Research Teaches Us

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

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

What This Changes for a Manager

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

The Limit 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

In a team spanning international organizations, private banking and trading companies, define for each type of AI-assisted deliverable an explicit control point—a figure, a source, sensitive wording—verified by someone other than the author. Counting errors caught 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 Geneva in the canton of Geneva, or browse our executive and employee training programmes in Switzerland. AI training in the canton of Geneva.

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

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