E-Seminar : Leadership, Followership, and AI: Rethinking Responsibility and Error

Description

This seminar explores the roles of leadership and followership in a world increasingly influenced by artificial intelligence and algorithmic decision-making. It investigates what it means to lead, to follow, and to make errors both as human beings and through the systems we create. Within that framework, we pay special attention to algorethics. Through four stages, we examine

1. The transformation of decision-making and moral agency in the presence of intelligent systems
2. The interdependent ethical nature of leadership and followership
3. The contrast between human judgment and machine logic
4. He differing meanings and implications of error in humans and machines.

Steps

Step 1: AI, Algorethics and the Human Question.

We discuss the ways the world is shaped by alghorithms and automation, and how do leadership and followership dynamics change when decision-making is shared with machines. We explore what does it mean to put ethics into technology.

Step 2: Human Dynamics: Leadership and Followership as Ethical Roles

Leadership and Followership are not opposites but interdependent, morally grounded roles. We explore classical and moral models, and discuss how do ethics shape both leaders and followers.

Step 3: Intelligence and Intention: How AI “Decides”

AI systems process data and recognize patterns but lack intention, consciousness, and moral judgment, unlike humans. We examine how AI decision-making differs from human reasoning and ethical discernment. What does it mean to “collaborate” with a non-human system?

Step 4: On Error: Human Mistakes vs. Machine Failures

Humans make mistakes in various ways including bias, intuition, and experience. Machines fail through flawed data or design. We study the nature, causes, and consequences of errors across both domains, and discuss who is morally responsible when something goes wrong in AI-led environments?