According to the statistics of the Federal Office, 86 percent of road-traffic accidents are caused by mistakes made by the car driver. The creation of autonomous cars could solve this problem!
This essay pays attention to one moral aspect of autonomous machines, namely punishment. In this context, we will talk about the punishment of autonomous machines and this will be shown using the example of autonomous cars.
The aim of this essay is to demonstrate how autonomous machines could be punished, or if it is really possible for them to be punished. The basis for these ideas is taken from the philosopher and business information technologist Oliver Bendel, the dissertation "Automaten als Träger von Rechten. Plädoyer für eine Gesetzesänderung" by Andreas Matthias, the essays "Killer robots" from Robert Sparrow and "Why you Can’t Make a Computer that Feels Pain" by Daniel Denett as well as the anthology about autonomous machines by Thomas Christaller and Josef Wehner.
Table of Contents
Introduction
1. Definitions
1.1 Machine
1.2 Autonomy
1.2.1 Proper autonomy
1.2.2 Improper autonomy
1.3 Punishment
2. Autonomous cars in the automobile industry
2.1 State of the art technology
2.2 Expected trends and innovations
3. Punishment of autonomous cars
3.1 Possibilities and reasons for a punishment
3.2 Requirements for a punishment
3.3 Complications regarding to the punishment of autonomous cars
Conclusion
Research Objectives and Topics
This paper explores the moral and ethical dimensions of punishing autonomous machines, specifically focusing on the practical and theoretical challenges posed by autonomous vehicles. It investigates whether such systems can be considered subjects of morality, if they can truly be held responsible for their actions, and how current punishment frameworks apply to non-human, artificial entities.
- Analysis of the definitions of machine, autonomy, and punishment.
- Examination of the current state and future trends of autonomous car technology.
- Investigation into the ethical requirements and justifications for punishing artificial systems.
- Evaluation of complications arising from attempting to apply human-centric punishment to machines.
Excerpt from the Book
3.3 Complications regarding to the punishment of autonomous cars
The fact is that humans are made of many cells which cannot always be reproduced is the reason why they have to die. The nervous system enables the human to feel pain and that he or she has consciousness for feelings such as fear. This ability also enables human beings to be worried. If evolution did not create this, humans should not be able to feel lust, happiness and security (cf. Faßler 2003, 286). Punishments are always connected with negative feelings.
With the education of machines, the possibility to change something is higher, because the mechanical brain is less complex; that’s why reaction patterns are easier to discover and to prove (cf. Faßler 2003, 275; Matthias 2007, 243f.). The philosopher, Andreas Matthias supports this theory in his dissertation Automaten als Träger von Rechten. Plädoyer für eine Gesetzesänderung, and he says that specific deterrence could be realized in machines and that it is more successful:
The aims of specific prevention, to stop the repetition of an acting through the same culprit and to reintegrate him into society are more reachable in machines and more complete[ ] than in human culprits, because they cannot be newly programmed and their memory could not be deleted every time you want to and this memory is not every time available. ( Trad. Matthias 2007, 247f.)
Summary of Chapters
Introduction: Outlines the ethical motivation for the paper, specifically the potential to reduce accidents via autonomous vehicles and the resulting moral questions regarding their responsibility.
1. Definitions: Provides the foundational terminology by defining the nature of machines, the levels of autonomy (proper vs. improper), and the ethical concept of punishment.
2. Autonomous cars in the automobile industry: Reviews existing technological capabilities and future innovations, while examining whether autonomous cars can be perceived as subjects capable of independent decision-making.
3. Punishment of autonomous cars: Analyzes the theoretical possibilities and pragmatic requirements for punishing autonomous systems, including the complex issues of machine deterrence and the lack of subjective experience (suffering) in AI.
Conclusion: Synthesizes the findings, arguing that while machines might reach a level of "improper autonomy," the lack of true consciousness or capacity for suffering makes traditional punishment ineffective and suggests a need for reevaluating responsibility in legal frameworks.
Keywords
Autonomous machines, Autonomous cars, Artificial Intelligence, Ethics, Punishment, Moral responsibility, Autonomy, Machine learning, Philosophy, Deterrence, Robot laws, Subjectivity, Accountability, Technology, Socialization.
Frequently Asked Questions
What is the central focus of this seminar paper?
The paper examines the moral and legal question of whether it is possible or meaningful to punish autonomous machines, using autonomous cars as a primary case study.
What are the key thematic areas addressed?
It covers the definitions of autonomy and machines, current and future developments in autonomous driving, and the philosophical challenges of applying punitive justice to non-biological systems.
What is the primary research goal?
The aim is to determine if autonomous machines can be considered moral subjects capable of being punished, or if such punishment is merely a symbolic act without real effect.
Which scientific or theoretical methods are used?
The paper employs a conceptual and philosophical analysis, drawing on literature from ethics, technology philosophy, and legal theory, including works by Oliver Bendel, Andreas Matthias, and Daniel Dennett.
What topics are discussed in the main body?
The main body breaks down the technical status of autonomous vehicles, defines the types of machine autonomy, and explores specific punishment methods like compensation, vengeance, and forgiveness in an AI context.
Which key terms define the work?
Core concepts include machine, proper vs. improper autonomy, moral responsibility, specific prevention, and the cognitive constraints of artificial systems.
Why does the author argue that machines lack "proper autonomy"?
The author concludes that machines operate within programmed parameters and lack the subjective consciousness, will, and emotional capacity required for full, "proper" human-like autonomy.
How does the paper evaluate the effectiveness of punishing machines?
It suggests that while "specific deterrence" (reprogramming) might be technically effective to prevent repetition, it lacks the moral weight and deterrent effect intended by traditional justice, as machines cannot experience suffering or guilt.
What is the significance of the "Christmas lights" example?
It illustrates a scenario where an autonomous car malfunctions due to a programming gap, highlighting that punishing the machine (e.g., reprogramming it) does not provide the same societal satisfaction or deterrent function as punishing a human agent.
- Citation du texte
- Alexandra Bünck (Auteur), 2015, Punishing autonomous machines? The example of autonomous cars, Munich, GRIN Verlag, https://www.grin.com/document/374759
