Ethics of Artificial Intelligence

TL;DR

This paper explores the ethical challenges posed by AI, including privacy, bias, autonomy, and moral agency, and discusses policy implications for responsible AI development.

Contribution

It provides a comprehensive overview of ethical debates in AI, analyzing current issues and proposing considerations for future policy and development.

Findings

Identifies key ethical issues like privacy, bias, and autonomy.

Analyzes AI as both tools and moral agents.

Suggests policy directions for responsible AI use.

Abstract

Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools made and used by humans; here, the main sections are privacy (2.1), manipulation (2.2), opacity (2.3), bias (2.4), autonomy & responsibility (2.6) and the singularity (2.7). Then we look at AI systems as subjects, i.e. when ethics is for the AI systems themselves in machine ethics (2.8.) and artificial moral agency (2.9). Finally we look at future developments and the concept of AI (3). For each section within these themes, we provide a general explanation of the ethical issues, we outline existing positions and arguments, then we analyse how this plays out with current technologies and finally what policy consequences may be drawn.