AIDec 5, 2018

Truly Autonomous Machines Are Ethical

arXiv:1812.02217v114 citations
Originality Synthesis-oriented
AI Analysis

It tackles the ethical challenges in AI development, proposing a foundational concept that could unify human and machine ethics, but is theoretical without empirical validation.

The paper argues that truly autonomous machines, as defined by ethical theory, are inherently ethical, addressing the obligations between humans and machines and clarifying responsibility assignment.

While many see the prospect of autonomous machines as threatening, autonomy may be exactly what we want in a superintelligent machine. There is a sense of autonomy, deeply rooted in the ethical literature, in which an autonomous machine is necessarily an ethical one. Development of the theory underlying this idea not only reveals the advantages of autonomy, but it sheds light on a number of issues in the ethics of artificial intelligence. It helps us to understand what sort of obligations we owe to machines, and what obligations they owe to us. It clears up the issue of assigning responsibility to machines or their creators. More generally, a concept of autonomy that is adequate to both human and artificial intelligence can lead to a more adequate ethical theory for both.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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