Toward machines that behave ethically better than humans do

M.A. Pontier; J.F. Hoorn

Toward machines that behave ethically better than humans do

M.A. Pontier
, J.F. Hoorn

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

With the increasing dependence on autonomous operating agents
and robots the need for ethical machine behavior rises. This paper
presents a moral reasoner that combines connectionism,
utilitarianism and ethical theory about moral duties. The moral
decision-making matches the analysis of expert ethicists in the
health domain. This may be useful in many applications, especially
where machines interact with humans in a medical context.
Additionally, when connected to a cognitive model of emotional
intelligence and affective decision making, it can be explored how
moral decision making impacts affective behavior.

Original language	English
Title of host publication	Proceedings of of the 34th International Annual Conference of the Cognitive Science Society
Editors	N. Miyake, B. Peebles, R.P. Cooper
Place of Publication	Austin, TX
Publisher	Cognitive Science Society
Pages	2198-2203
Publication status	Published - 2012
Event	34th annual meeting of the Cognitive Science Society - Austin, TX Duration: 1 Aug 2012 → 4 Aug 2012

Conference

Conference	34th annual meeting of the Cognitive Science Society
Period	1/08/12 → 4/08/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

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Moral ReasonerAccepted author manuscript, 428 KB

http://mindmodeling.org/cogsci2012/papers/0383/paper0383.pdf

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@inproceedings{a222260130de4615aef354f2ddb8a46b,

title = "Toward machines that behave ethically better than humans do",

abstract = "With the increasing dependence on autonomous operating agents and robots the need for ethical machine behavior rises. This paper presents a moral reasoner that combines connectionism, utilitarianism and ethical theory about moral duties. The moral decision-making matches the analysis of expert ethicists in the health domain. This may be useful in many applications, especially where machines interact with humans in a medical context. Additionally, when connected to a cognitive model of emotional intelligence and affective decision making, it can be explored how moral decision making impacts affective behavior.",

author = "M.A. Pontier and J.F. Hoorn",

year = "2012",

language = "English",

pages = "2198--2203",

editor = "N. Miyake and B. Peebles and R.P. Cooper",

booktitle = "Proceedings of of the 34th International Annual Conference of the Cognitive Science Society",

publisher = "Cognitive Science Society",

note = "34th annual meeting of the Cognitive Science Society ; Conference date: 01-08-2012 Through 04-08-2012",

}

Pontier, MA & Hoorn, JF 2012, Toward machines that behave ethically better than humans do. in N Miyake, B Peebles & RP Cooper (eds), Proceedings of of the 34th International Annual Conference of the Cognitive Science Society. Cognitive Science Society, Austin, TX, pp. 2198-2203, 34th annual meeting of the Cognitive Science Society, 1/08/12. <http://mindmodeling.org/cogsci2012/papers/0383/paper0383.pdf>

Toward machines that behave ethically better than humans do. / Pontier, M.A.; Hoorn, J.F.
Proceedings of of the 34th International Annual Conference of the Cognitive Science Society. ed. / N. Miyake; B. Peebles; R.P. Cooper. Austin, TX: Cognitive Science Society, 2012. p. 2198-2203.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Toward machines that behave ethically better than humans do

AU - Pontier, M.A.

AU - Hoorn, J.F.

PY - 2012

Y1 - 2012

N2 - With the increasing dependence on autonomous operating agents and robots the need for ethical machine behavior rises. This paper presents a moral reasoner that combines connectionism, utilitarianism and ethical theory about moral duties. The moral decision-making matches the analysis of expert ethicists in the health domain. This may be useful in many applications, especially where machines interact with humans in a medical context. Additionally, when connected to a cognitive model of emotional intelligence and affective decision making, it can be explored how moral decision making impacts affective behavior.

AB - With the increasing dependence on autonomous operating agents and robots the need for ethical machine behavior rises. This paper presents a moral reasoner that combines connectionism, utilitarianism and ethical theory about moral duties. The moral decision-making matches the analysis of expert ethicists in the health domain. This may be useful in many applications, especially where machines interact with humans in a medical context. Additionally, when connected to a cognitive model of emotional intelligence and affective decision making, it can be explored how moral decision making impacts affective behavior.

M3 - Conference contribution

SP - 2198

EP - 2203

BT - Proceedings of of the 34th International Annual Conference of the Cognitive Science Society

A2 - Miyake, N.

A2 - Peebles, B.

A2 - Cooper, R.P.

PB - Cognitive Science Society

CY - Austin, TX

T2 - 34th annual meeting of the Cognitive Science Society

Y2 - 1 August 2012 through 4 August 2012

ER -

Toward machines that behave ethically better than humans do

Abstract

Conference

UN SDGs

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