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Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
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An Impact Assessment of ESF Training Courses for Unemployed in the Province of Bolzano
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Artificial intelligence, ethics, and intergenerational responsibility
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Abstract:
In more and more situations, artificially intelligent algorithms have to model humans' (social) preferences on whose behalf they increasingly make decisions. They can learn these preferences through the repeated observation of human behavior in social encounters. In such a context, do individuals adjust the selfishness or prosociality of their behavior when it is common knowledge that their actions produce various externalities through the training of an algorithm? In an online experiment, we let participants' choices in dictator games train an algorithm. Thereby, they create an externality on future decision making of an intelligent system that affects future participants. We show that individuals who are aware of the consequences of their training on the payoffs of a future generation behave more prosocially, but only when they bear the risk of being harmed themselves by future algorithmic choices. In that case, the externality of artificially intelligence training induces a significantly higher share of egalitarian decisions in the present.
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Keyword:
Artificial Intelligence; C49; C91; D10; D62; D63; ddc:330; Externalities; Generations; Morality; O33; Prosociality
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URL: https://doi.org/10.2139/ssrn.4002578 http://hdl.handle.net/10419/249178
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An impact assessment of ESF training courses for unemployed in the Province of Bolzano
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"Für den Spracherwerb ist es wichtig, auf Lerngelegenheiten in der Umgebung zu stoßen"
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Deutschkenntnisse entwickeln sich bei Geflüchteten und anderen Neuzugewanderten ähnlich: Sprachkurse spielen wichtige Rolle
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The Impacts of a Prototypical Home Visiting Program on Child Skills
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Leveraging literals for knowledge graph embeddings
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In: ISSN: 1613-0073 (2021)
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Text Mining and Dimension Reduction Methods of Exploring Isomorphism in Corporate Communication
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In: Archives of Data Science, Series A (Online First), 7 (1), P09, 21 S. online ; ISSN: 2363-9881 (2021)
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Reputation Through Observation: Active Lurkers in an Online Community
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In: Archives of Data Science, Series A (Online First), 5 (1), A32, 17 S. online ; ISSN: 2363-9881 (2021)
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Charaterizing RDF graphs through graph-based measures - Framework and assessment
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In: Semantic Web, 12 (5), 789-812 ; ISSN: 1570-0844, 2210-4968 (2021)
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Dynamiken der Wirtschaft des Mittleren Reichs. Warengewinnung von Getreide, Kupfer und Türkis
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Coronagraben in Switzerland: Culture and social distancing in times of COVID-19
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19 |
Managing Refugee Protection Crises: Policy Lessons from Economics and Political Science
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