An Introduction to Ethics in Robotics and AI
This open access book provides an introductory overview of the ethical, legal, psychological, and social implications of artificial intelligence and robotics. It covers foundational topics such as AI definitions, ethical theories, trust, fairness, responsibility, liability, business risks, privacy, and specific application areas like autonomous vehicles and military uses. Designed as a concise academic resource, it balances multiple perspectives on the benefits and challenges of AI technologies.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
University students, policy makers, and professionals seeking a balanced introduction to the ethics of robotics and AI.
What the document contains
The document covers fundamental concepts of artificial intelligence and robotics, major ethical theories applied to technology, functional and ethical elements of trust, liability frameworks, business risks, psychological impacts of human-robot interaction, privacy concerns, and case studies in application areas such as autonomous vehicles and military uses.
Binding international legislation or enforceable regulatory standards specifically mandated by the text itself.
- Artificial intelligence and robotics present complex ethical challenges that span across business, legal, psychological, and societal domains.
- Trust and fairness in AI depend on principles such as non-maleficence, beneficence, autonomy, justice, and explicability.
- Assigning liability for accidents involving autonomous systems is complicated by system complexity and the problem of many hands.
- Persistent surveillance and massive data collection required by AI systems erode individual privacy and pose significant risks of manipulation.
- Specific application domains like healthcare, education, autonomous vehicles, and military robotics introduce unique ethical and regulatory dilemmas.
· About the Book · What Is AI? · What Is Ethics? · Trust and Fairness in AI Systems · Responsibility and Liability in the Case of AI Systems · Risks in the Business of AI · Psychological Aspects of AI · Privacy Issues of AI · Application Areas of AI · Autonomous Vehicles · Military Uses of AI · Ethics in AI and Robotics: A Strategic Challenge
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
In the case of autonomous vehicles a several shifts have been made to move the liability from the driver or car owner to the car manufacturer or, if applicable, the company operating or developing the software.
Chapter 5
screening score · 2026-10-24
Fairness
4/5Non-discrimination and equitable treatment
The principle of justice states that AI shall act in a just and unbiased way. Justice is often illustrated by a statue of the Roman Goddess Justitia.
Chapter 4
screening score · 2026-10-24
Human Dignity
4/5Respect for the inherent worth of persons
Act in such a way that you treat humanity, whether in your own person or in the person of any other, never merely as a means to an end, but always at the same time as an end.
Chapter 4
screening score · 2026-10-24
Human Oversight
4/5Humans remain in control of consequential decisions
On level 3 a driver is not required to monitor the functions of their car at any time. This implies that a car has to be able to deal with a broad range of cases, including critical situations, on its own.
Chapter 5
screening score · 2026-10-24
Privacy
4/5Protection of personal data and private life
The General Data Protection Regulation (GDPR) in effect in the European Union since 2018 forced companies to seek consent from users before sharing their personal data with others.
Chapter 8
screening score · 2026-10-24
Enforcement
4/5Consequences and compliance mechanisms with real force
the law also insists that social networks (like Facebook or others) may be fined very large sums of up to 50 million EUR—in case they do not actively seek and successfully remove certain content within a week.
Chapter 4
screening score · 2026-10-24
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
among the most significant are the risks associated with severe accidents. Take the example of autonomous vehicles, an A V out of control might cause great harm to other people and property.
Chapter 6
screening score · 2026-10-24