Work

Descriptive AI Ethics: Collecting and Understanding the Public Opinion

Year: 2021

Type: preprint

Abstract: There is a growing need for data-driven research efforts on how the public perceives the ethical, moral, and legal issues of autonomous AI systems. The current debate on the responsibility gap posed by these systems is one such example. This work proposes a mixed AI ethics model that allows normative and descriptive research to complement each other, by aiding scholarly discussion with data gathered from the public. We discuss its implications on bridging the gap between optimistic and pessimistic views towards AI systems' deployment.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2101.05957

Authors: Lima, Gabriel, Cha, Meeyoung

Institutions: Korea Advanced Institute of Science and Technology, Institute for Basic Science

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3124877422

Cites: 39

Cited by: 5

Related to: 10