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Record STMT-M184Advisory

Ethics of Artificial Intelligence and Robotics

Report Institutional policyin force

This Stanford Encyclopedia of Philosophy entry explores the ethics of artificial intelligence and robotics. It outlines major philosophical debates surrounding privacy, human autonomy, bias, transparency, and societal impacts. The article aims to evaluate techno-social developments to help guide responsible AI design and use.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Stanford UniversityAcademic · US
Publisher
Legal forceAdvisory
Under whose authorityInstitutional policy
Judged fromabstract

Who it governs

Researchers and academicsGeneral publicCompaniesAI developers and providers

This is for researchers, academics, and students seeking an academic overview of the philosophical and ethical dimensions of artificial intelligence and robotics.

Sectors
Research and science · philosophy and academic researchTelecommunications and digital services · artificial intelligence and digital technology

What the document contains

What's covered

The document covers the scope and techno-social background of AI and robotics, tracing historical developments from classical AI to modern machine learning and large language models. It details key ethical debates including privacy, human autonomy, explainability, fairness, machine ethics, existential risk, and the relationship between philosophical inquiry and AI policy.

What's missing

Readers will not find legally binding regulations, enforceable compliance mechanisms, or technical safety guidelines, as the text focuses strictly on philosophical and academic analysis.

Key takeaways
  • The ethics of artificial intelligence and robotics involves navigating both specific technical concerns and broader normative and metaethical questions.
  • The rapid shift toward machine learning and large-scale data models has dramatically expanded the societal and philosophical footprint of AI.
  • Privacy and data protection face severe challenges in the digital sphere due to ubiquitous data collection, tracking, and AI-driven profiling.
  • AI ethics should not be framed purely through the lens of risk, but should also foster a positive vision of a future worth wanting.
  • Philosophical analysis helps move discussions from vague fears to well-understood problems while defining proper boundaries for AI policy.
Outline
· 1. Introduction
  - 1.1 Scope: Ethics of AI & Robotics
  - 1.2 Techno-social Background
· 2. Main Debates
  - 2.1 Privacy & Data Protection
    - 2.1.1 The Digital Sphere
  - 2.2 Human Autonomy & Manipulation
  - 2.3 Epistemic Issues: Opacity & Explainability
  - 2.4 Good Decisions: Fairness & Bias
  - 2.5 Human-Robot Interaction
  - 2.6 Autonomous AI Systems
  - 2.7 Moral Status, Machine Ethics, Responsibility
  - 2.8 Superintelligence & Existential Risk
  - 2.9 Society, Politics, Economics
  - 2.10 AI Policy
· 3. Closing Note
IssuedNot recorded
Length3,183 words
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

2/5

Clear responsibility for AI outcomes

2.7 Moral Status, Machine Ethics, Responsibility

Section 2

screening score · 2026-10-23

Fairness

2/5

Non-discrimination and equitable treatment

2.4 Good Decisions: Fairness & Bias

Section 2

screening score · 2026-10-23

Human Dignity

1/5

Respect for the inherent worth of persons

AI somehow gets closer to our skin than other technologies: This has to do with the fact that the project of AI is to create machines that have features which are central to how we humans see ourselves

1.1 Scope: Ethics of AI & Robotics

screening score · 2026-10-23

Human Oversight

2/5

Humans remain in control of consequential decisions

The main debates that seem to have practical impact or theoretical relevance currently are about privacy, human autonomy, automated decisions, human-machine interaction

Introduction

screening score · 2026-10-23

Privacy

3/5

Protection of personal data and private life

The discussion about privacy and surveillance in information technology (e.g. Macnish 2017; Roessler 2017) mainly concerns personally identifiable data, i.e. the access to, and control over that data

2.1 Privacy & Data Protection

screening score · 2026-10-23

Transparency

2/5

Openness about how AI systems work and are used

2.3 Epistemic Issues: Opacity & Explainability

Section 2

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

2. Main Debates

screening score · 2026-10-23

Impact Assessment

1/5

Required assessment of an AI system's risks/impacts before or during use

After around 70 years of development, it is now clear that AI and robotics do have substantial impact on the world

Introduction

screening score · 2026-10-23

Topics

ai_ethics robotics privacy human_autonomy artificial_intelligence