scholarly journals Modeling the Social Dynamics of Moral Enhancement

2017 ◽  
Vol 26 (3) ◽  
pp. 431-445 ◽  
Author(s):  
ANDERS SANDBERG ◽  
JOAO FABIANO
Keyword(s):  
Social Dynamics ◽  
Value Orientations ◽  
Social Value ◽  
Moral Enhancement ◽  
Personal Satisfaction ◽  
Attractor State ◽  
The Social ◽  
Social Value Orientations ◽  
The Stability ◽  
Social Emergence

Abstract:How individuals tend to evaluate the combination of their own and other’s payoffs—social value orientations—is likely to be a potential target of future moral enhancers. However, the stability of cooperation in human societies has been buttressed by evolved mildly prosocial orientations. If they could be changed, would this destabilize the cooperative structure of society? We simulate a model of moral enhancement in which agents play games with each other and can enhance their orientations based on maximizing personal satisfaction. We find that given the assumption that very low payoffs lead agents to be removed from the population, there is a broadly stable prosocial attractor state. However, the balance between prosociality and individual payoff-maximization is affected by different factors. Agents maximizing their own satisfaction can produce emergent shifts in society that reduce everybody’s satisfaction. Moral enhancement considerations should take the issues of social emergence into account.

scholarly journals Social identity and social value orientations

2019 ◽  
Author(s):  
Ozan Aksoy
Keyword(s):  
Social Identity ◽  
Significant Variation ◽  
Value Orientations ◽  
Social Value ◽  
Absolute Difference ◽  
Ingroup Bias ◽  
Social Value Orientation ◽  
Orientation Model ◽  
The Social ◽  
Social Value Orientations

This study provides an extension of the social value orientation model and a tool, other-other Decomposed Games, to quantify the influence of social identity on social value orientations. Social identity is induced experimentally using the minimal group paradigm. Subsequently, the weights subjects add to the outcomes of outgroup others relative to ingroup others and to the absolute difference between the outcomes of ingroup and outgroup others are estimated. Results are compared to a control condition in which social identity is not induced. Results show that when the outgroup is better off than the ingroup, the average subject is spiteful: they derive negative utility from the outcomes of the outgroup other. When the ougroup is worse off than the ingroup, the average subject attaches similar weights to the outcomes of outgroup and ingroup others. There is also significant variation across subjects with respect to the level of ingroup bias.

scholarly journals The Oxytocin Receptor (OXTR) Contributes to Prosocial Fund Allocations in the Dictator Game and the Social Value Orientations Task

PLoS ONE ◽  
2009 ◽  
Vol 4 (5) ◽  
pp. e5535 ◽  
Author(s):  
Salomon Israel ◽  
Elad Lerer ◽  
Idan Shalev ◽  
Florina Uzefovsky ◽  
Mathias Riebold ◽  
...  
Keyword(s):  
Dictator Game ◽  
Oxytocin Receptor ◽  
Value Orientations ◽  
Social Value ◽  
The Social ◽  
Social Value Orientations

Gesellschaftliche Wertorientierungen und politisches Verhalten / Social value orientations and political behavior

1974 ◽  
Vol 3 (2) ◽  
Author(s):  
Franz Urban Pappi ◽  
Edward O. Laumann
Keyword(s):  
Voting Behavior ◽  
Value Orientations ◽  
Social Value ◽  
Canonical Correlations ◽  
Scaling Procedure ◽  
Social Structural ◽  
Social Value Orientations ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
The Empirical Analysis

AbstractSocial value orientations are introduced as a central set of variables for theories of voting behavior. Voting behavior is used as an example for a class of models which can demonstrate the linkage between social structure and individual behavior. Social value orientations are analytically defined and examined in relationship with related and complementary concepts like interests. Theoretically based on the AGIL paradigm, a comprehensive sample of indicators of social values is drawn from appropriate attitude scales. The structure of value orientations is empirically delineated by a multidimensional scaling procedure using the correlations between the indicators as input. Knowing this structure it is possible to construct a parsimonious set of eight scales of value orientations. Canonical correlations and discriminant analysis are the procedures used to relate this set with social structural antecedents and political attitudes and behavior as presumed consequences. The empirical analysis is based on data from the Jülich community study.

Socio-humanitarian framework for evaluating innovations in the field of artificial intelligence

2021 ◽  
Vol 6 ◽  
Author(s):  
A.N. Raikov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Social Consequences ◽  
Value Orientations ◽  
Scientific Publications ◽  
Main Emphasis ◽  
The Social ◽  
Social Value Orientations ◽  
Analytical Review ◽  
The Impact

The paper addresses the issue of identification the social and humanitarian grounds for constructing criteria for assessing the impact of various factors on the development of innovations using artificial intelligence (AI) technologies. The analysis of basic concepts, standards and criteria for evaluating innovations has been carried out; an analytical review of foreign scientific publications was made. It is shown that modern systems for assessing innovations related to digital technologies and AI place the main emphasis on technological factors in the development of innovations. Social value orientations, including defining the ethical dimensions and social consequences of the malicious use of AI was identified; the analysis of innovation models in the context of quality management and differentiation of semantics of AI models is carried out. As a result, a classification of various types of AI was constructed, taking into account the social and humanitarian grounds for constructing criteria for assessing the impact of various factors on the development of innovations in the field of AI. It allows to increase the reputation potential of companies developing AI systems and AI systems themselves, to counter negative trends in the field of ethics associated with the use of digital technologies and AI.

Effects of Social Value Orientations on Fairness Judgments

2008 ◽  
Vol 148 (2) ◽  
pp. 223-246 ◽  
Author(s):  
William D. Anderson ◽  
Miles L. Patterson
Keyword(s):  
Value Orientations ◽  
Social Value ◽  
Fairness Judgments ◽  
Social Value Orientations
Sign in / Sign up

Export Citation Format

Share Document