Collective Reflective Equilibrium in Practice (CREP) and controversial novel technologies

In this paper, we investigate how data about public preferences may be used to inform policy around the use of controversial novel technologies, using public preferences about autonomous vehicles (AVs) as a case study. We first summarize the recent ‘Moral Machine’ study, which generated preference d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bioethics Jg. 35; H. 7; S. 652 - 663
Hauptverfasser: Savulescu, Julian, Gyngell, Christopher, Kahane, Guy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Blackwell Publishing Ltd 01.09.2021
John Wiley and Sons Inc
Schlagworte:
algorithm
Artificial intelligence
Attitudes
Autonomous vehicles
bias
Bioethics
Case studies
Coherence
Data
driverless cars
egalitarianism
Equilibrium
ethical decision procedures
Ethics
Humans
Machinery
Morals
Novels
Original
policy
Preferences
Public Opinion
reflective equilibrium
Technology
utilitarianism
veil of ignorance
egalitarianism
ethical decision procedures
veil of ignorance
driverless cars
reflective equilibrium
bias
artificial intelligence
utilitarianism
algorithm
policy
ISSN:0269-9702, 1467-8519, 1467-8519
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper, we investigate how data about public preferences may be used to inform policy around the use of controversial novel technologies, using public preferences about autonomous vehicles (AVs) as a case study. We first summarize the recent ‘Moral Machine’ study, which generated preference data from millions of people regarding how they think AVs should respond to emergency situations. We argue that while such preferences cannot be used to directly inform policy, they should not be disregarded. We defend an approach that we call ‘Collective Reflective Equilibrium in Practice’ (CREP). In CREP, data on public attitudes function as an input into a deliberative process that looks for coherence between attitudes, behaviours and competing ethical principles. We argue that in cases of reasonable moral disagreement, data on public attitudes should play a much greater role in shaping policies than in areas of ethical consensus. We apply CREP to some of the global preferences about AVs uncovered by the Moral Machines study. We intend this discussion both as a substantive contribution to the debate about the programming of ethical AVs, and as an illustration of how CREP works. We argue that CREP provides a principled way of using some public preferences as an input for policy, while justifiably disregarding others.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0269-9702
1467-8519
1467-8519
DOI:10.1111/bioe.12869