How Bad Can the Lives of Persons and Animals Go? On the Alleged Asymmetrical Effect of Cognitive Capacities on the Potentials for Welfare of Persons and Animals

A widespread view among philosophers is that the maximum potential for positive welfare of individuals with sophisticated cognitive capacities (like human persons) is significantly higher than that of individuals without those capacities (like most non-human animals). A less common, but influential view, is that the effect of sophisticated cognitive capacities is not symmetrical, in the sense that the maximum potential for negative welfare is comparable between individuals with and without those capacities. In this article I challenge the latter view (which I call the Welfare Asymmetry Thesis) by arguing that persons do have a maximum potential for negative welfare that is significantly higher than that of animals. I contend that this is plausible even when viewed from different theories of welfare. After addressing some potential replies that a defender of Welfare Asymmetry Thesis might make, I conclude by briefly discussing two implications of my proposal: that it can provide support to the conventional practice of granting persons more protections from welfare-reducing events than to animals, and that it can undermine the widespread view that the lives of persons matter more than the lives of animals.

Authors

Institutions

Publication Details

Journal
Ethical Theory and Moral Practice
Published
2025-06-13
DOI
https://doi.org/10.1007/s10677-025-10504-0
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Bad Can the Lives of Persons and Animals Go? On the Alleged Asymmetrical Effect of Cognitive Capacities on the Potentials for Welfare of Persons and Animals

Bernardo Aguilera
1 links
Ethical Theory and Moral Practice
Evolutionary Game Theory and Cooperation
article

How Bad Can the Lives of Persons and Animals Go? On the Alleged Asymmetrical Effect of Cognitive Capacities on the Potentials for Welfare of Persons and Animals

Bernardo Aguilera
article en

Abstract

A widespread view among philosophers is that the maximum potential for positive welfare of individuals with sophisticated cognitive capacities (like human persons) is significantly higher than that of individuals without those capacities (like most non-human animals). A less common, but influential view, is that the effect of sophisticated cognitive capacities is not symmetrical, in the sense that the maximum potential for negative welfare is comparable between individuals with and without those capacities. In this article I challenge the latter view (which I call the Welfare Asymmetry Thesis) by arguing that persons do have a maximum potential for negative welfare that is significantly higher than that of animals. I contend that this is plausible even when viewed from different theories of welfare. After addressing some potential replies that a defender of Welfare Asymmetry Thesis might make, I conclude by briefly discussing two implications of my proposal: that it can provide support to the conventional practice of granting persons more protections from welfare-reducing events than to animals, and that it can undermine the widespread view that the lives of persons matter more than the lives of animals.

Ethical Theory and Moral Practice
San Sebastián University (CL)
Agenția Națională pentru Cercetare și Dezvoltare, Pontificia Universidad Católica de Chile, Agencia Nacional de Investigación y Desarrollo, CHIST-ERA
Openalex Percentile: Top 82%
Evolutionary Game Theory and Cooperation
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.