Views on AI Aren't Binary — They’re Plural (Extended Abstract)

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” and “AI Safety,” the general lessons apply to related tensions, including those between accelerationist (“e/acc”) and cautious stances on AI development.

Authors

Institutions

Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2024-10-16
DOI
https://doi.org/10.1609/aies.v7i1.31631
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Views on AI Aren't Binary — They’re Plural (Extended Abstract)

Luke Thorburn, Thorin Bristow, Diana Acosta-Navas
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Computability, Logic, AI Algorithms
article

Views on AI Aren't Binary — They’re Plural (Extended Abstract)

Luke Thorburn, Thorin Bristow, Diana Acosta-Navas
article en

Abstract

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” and “AI Safety,” the general lessons apply to related tensions, including those between accelerationist (“e/acc”) and cautious stances on AI development.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 7
King's College London (GB), Loyola University Chicago (US)
Openalex Percentile: Top 75%
Computability, Logic, AI Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Views on AI Aren't Binary — They’re Plural (Extended Abstract) — Luke Thorburn, Thorin Bristow, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society (2024) | TGRS Research Map | TGRS