@misc{munteanMoralCoherentismAge2024,
	title = {Moral coherentism in the age of {Artificial} {Intelligence}. {A} pattern-based project in machine moral learning},
	copyright = {All rights reserved. Do not quote without permission},
	abstract = {Abstract
The current project focuses on models of ‘artificial moral learning’ (as a type of moral cognition) and ‘moral coherentism.’ It clarifies how artificial moral agency sheds light on some meta-ethical questions in the coherentism framework (Brink, Dorsey, Lynch, Sayre-McCord). Data in artificial moral cognition is assumed to be divided into two subspaces, moral and factual, and to contain complex, machine-learnable patterns. Inspired by Lynch’s ‘moral concordance,’ some schematic models of this type of two-dimensional data are proposed and assessed. The last, more comprehensive model is premised on the theoretical concept of ‘distributed concordance’ over a population of artificial moral agents. The paper concludes that coherentism, when generalized to machine ethics and artificial moral learning, has some advantages over foundationalist or reliabilist approaches in meta-ethics.},
	author = {Muntean, Ioan},
	year = {2024},
	note = {To appear in American Philosophical Quarterly, volume 61, issue 2. Preprint available on demand.},
	keywords = {Artificial Morality, Concordance, Distributive Concordance, Machine Ethics, Machine moral learning, Moral Coherentism, Moral cognition, Moral learning, Moral machine learning, Multi-agent coherence},
}

{"_id":"7TjPWkCEs2XzgjQoC","bibbaseid":"muntean-moralcoherentismintheageofartificialintelligenceapatternbasedprojectinmachinemorallearning-2024","author_short":["Muntean, I."],"bibdata":{"bibtype":"misc","type":"misc","title":"Moral coherentism in the age of Artificial Intelligence. A pattern-based project in machine moral learning","copyright":"All rights reserved. Do not quote without permission","abstract":"Abstract The current project focuses on models of ‘artificial moral learning’ (as a type of moral cognition) and ‘moral coherentism.’ It clarifies how artificial moral agency sheds light on some meta-ethical questions in the coherentism framework (Brink, Dorsey, Lynch, Sayre-McCord). Data in artificial moral cognition is assumed to be divided into two subspaces, moral and factual, and to contain complex, machine-learnable patterns. Inspired by Lynch’s ‘moral concordance,’ some schematic models of this type of two-dimensional data are proposed and assessed. The last, more comprehensive model is premised on the theoretical concept of ‘distributed concordance’ over a population of artificial moral agents. The paper concludes that coherentism, when generalized to machine ethics and artificial moral learning, has some advantages over foundationalist or reliabilist approaches in meta-ethics.","author":[{"propositions":[],"lastnames":["Muntean"],"firstnames":["Ioan"],"suffixes":[]}],"year":"2024","note":"To appear in American Philosophical Quarterly, volume 61, issue 2. Preprint available on demand.","keywords":"Artificial Morality, Concordance, Distributive Concordance, Machine Ethics, Machine moral learning, Moral Coherentism, Moral cognition, Moral learning, Moral machine learning, Multi-agent coherence","bibtex":"@misc{munteanMoralCoherentismAge2024,\n\ttitle = {Moral coherentism in the age of {Artificial} {Intelligence}. {A} pattern-based project in machine moral learning},\n\tcopyright = {All rights reserved. Do not quote without permission},\n\tabstract = {Abstract\nThe current project focuses on models of ‘artificial moral learning’ (as a type of moral cognition) and ‘moral coherentism.’ It clarifies how artificial moral agency sheds light on some meta-ethical questions in the coherentism framework (Brink, Dorsey, Lynch, Sayre-McCord). Data in artificial moral cognition is assumed to be divided into two subspaces, moral and factual, and to contain complex, machine-learnable patterns. Inspired by Lynch’s ‘moral concordance,’ some schematic models of this type of two-dimensional data are proposed and assessed. The last, more comprehensive model is premised on the theoretical concept of ‘distributed concordance’ over a population of artificial moral agents. The paper concludes that coherentism, when generalized to machine ethics and artificial moral learning, has some advantages over foundationalist or reliabilist approaches in meta-ethics.},\n\tauthor = {Muntean, Ioan},\n\tyear = {2024},\n\tnote = {To appear in American Philosophical Quarterly, volume 61, issue 2. Preprint available on demand.},\n\tkeywords = {Artificial Morality, Concordance, Distributive Concordance, Machine Ethics, Machine moral learning, Moral Coherentism, Moral cognition, Moral learning, Moral machine learning, Multi-agent coherence},\n}\n\n","author_short":["Muntean, I."],"key":"munteanMoralCoherentismAge2024","id":"munteanMoralCoherentismAge2024","bibbaseid":"muntean-moralcoherentismintheageofartificialintelligenceapatternbasedprojectinmachinemorallearning-2024","role":"author","urls":{},"keyword":["Artificial Morality","Concordance","Distributive Concordance","Machine Ethics","Machine moral learning","Moral Coherentism","Moral cognition","Moral learning","Moral machine learning","Multi-agent coherence"],"metadata":{"authorlinks":{}}},"bibtype":"misc","biburl":"https://api.zotero.org/users/125019/collections/5U7LGU73/items?key=ewW1RaRuE0S1jNousA0Xuz9X&format=bibtex&limit=100","dataSources":["3DoWMBkcaKTznZMsx","m6XEq4NgafoWkPhJH","wjn8cK5LeFh95gDh5","GPpRKkvJnTEshZncz"],"keywords":["artificial morality","concordance","distributive concordance","machine ethics","machine moral learning","moral coherentism","moral cognition","moral learning","moral machine learning","multi-agent coherence"],"search_terms":["moral","coherentism","age","artificial","intelligence","pattern","based","project","machine","moral","learning","muntean"],"title":"Moral coherentism in the age of Artificial Intelligence. A pattern-based project in machine moral learning","year":2024}