The University of Southampton
University of Southampton Institutional Repository

Studying introspection in animals and AIs

Studying introspection in animals and AIs
Studying introspection in animals and AIs

The study of introspection has, up until now, been predominantly human-centric, with regrettably little attention devoted to the question of whether introspection might exist in non-humans, such as animals and artificial intelligence (AI), and what distinct forms it might take. In their target article, Kammerer and Frankish (this issue) aim to address this oversight by offering a non-anthropocentric framework for understanding introspection that could be used to address these questions. However, their discussions on introspection in animals and AIs were quite brief. In this commentary, we will build on their suggestions to offer some methodological guidance for how future research into introspection in animals and AIs might proceed.

animal minds, artificial intelligence, design, evolution, introspection
1355-8250
63-74
Browning, Heather
8d13aa04-7648-4403-b29c-11f7674f6618
Veit, Walter
8137e8be-a04c-41c6-979e-87fe1a4010be
Browning, Heather
8d13aa04-7648-4403-b29c-11f7674f6618
Veit, Walter
8137e8be-a04c-41c6-979e-87fe1a4010be

Browning, Heather and Veit, Walter (2023) Studying introspection in animals and AIs. Journal of Consciousness Studies, 30 (9-10), 63-74. (doi:10.53765/20512201.30.9.063).

Record type: Article

Abstract

The study of introspection has, up until now, been predominantly human-centric, with regrettably little attention devoted to the question of whether introspection might exist in non-humans, such as animals and artificial intelligence (AI), and what distinct forms it might take. In their target article, Kammerer and Frankish (this issue) aim to address this oversight by offering a non-anthropocentric framework for understanding introspection that could be used to address these questions. However, their discussions on introspection in animals and AIs were quite brief. In this commentary, we will build on their suggestions to offer some methodological guidance for how future research into introspection in animals and AIs might proceed.

This record has no associated files available for download.

More information

Published date: September 2023
Keywords: animal minds, artificial intelligence, design, evolution, introspection

Identifiers

Local EPrints ID: 490075
URI: http://eprints.soton.ac.uk/id/eprint/490075
ISSN: 1355-8250
PURE UUID: c0c2a3fc-7ff1-4530-bfe8-7dbabd0aa3f5
ORCID for Heather Browning: ORCID iD orcid.org/0000-0003-1554-7052

Catalogue record

Date deposited: 14 May 2024 16:41
Last modified: 15 May 2024 02:05

Export record

Altmetrics

Contributors

Author: Heather Browning ORCID iD
Author: Walter Veit

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×