Views on AI aren't binary -- they're plural

Fuente: arXiv
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Autori principali: Bristow, Thorin, Thorburn, Luke, Acosta-Navas, Diana
Natura: Preprint
Pubblicazione: 2023
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author Bristow, Thorin
Thorburn, Luke
Acosta-Navas, Diana
author_facet Bristow, Thorin
Thorburn, Luke
Acosta-Navas, Diana
contents Recent developments in AI have brought broader attention to tensions between two overlapping communities, "AI Ethics" and "AI Safety." In this article we (i) characterize this false binary, (ii) argue that a simple binary is not an accurate model of AI discourse, and (iii) provide concrete suggestions for how individuals can help avoid the emergence of us-vs-them conflict in the broad community of people working on AI development and governance. While we focus on "AI Ethics" an "AI Safety," the general lessons apply to related tensions, including those between accelerationist ("e/acc") and cautious stances on AI development.
format Preprint
id arxiv_https___arxiv_org_abs_2312_14230
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Views on AI aren't binary -- they're plural
Bristow, Thorin
Thorburn, Luke
Acosta-Navas, Diana
Computers and Society
Recent developments in AI have brought broader attention to tensions between two overlapping communities, "AI Ethics" and "AI Safety." In this article we (i) characterize this false binary, (ii) argue that a simple binary is not an accurate model of AI discourse, and (iii) provide concrete suggestions for how individuals can help avoid the emergence of us-vs-them conflict in the broad community of people working on AI development and governance. While we focus on "AI Ethics" an "AI Safety," the general lessons apply to related tensions, including those between accelerationist ("e/acc") and cautious stances on AI development.
title Views on AI aren't binary -- they're plural
topic Computers and Society
url https://arxiv.org/abs/2312.14230