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2020

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Is trust between AI institutions and the public “morally rotten?”

Name: Is trust between AI institutions and the public “morally rotten?”
Creator: Carter, Sarah
Keywords: philosophy, computer science, multi-agent systems, artificial intelligence, law, ethics, GeneralLiterature_MISCELLANEOUS

appsOther research product01 Jan 2020 Ireland English Machine Ethics Research Group, School of Computer Science, University College Dublin

Authors: Carter, Sarah;

Is trust between AI institutions and the public “morally rotten?”

- Summary
- Subjects
- Metrics

Abstract

Developing artificial Intelligence (AI) technology has become a business of power. AI innovation is increasingly centralized in a few large companies – mainly, Google, Facebook, and Apple.1 Specialized data scientists - the backbone of these institutions - understand how AI functions, further creating a power dynamic between the layperson and the corporatized specialist. In the age of COVID-19, we have all become more reliant on technology companies and innovations to fulfill the needs of our new digital lives. We have little choice but to trust them in developing the AI technologies of the future. non-peer-reviewed

Country

Ireland

Related Organizations

National University of Ireland, Galway
Ireland

Subjects by Vocabulary

ACM Computing Classification System: GeneralLiterature_MISCELLANEOUS

Keywords

philosophy, computer science, multi-agent systems, artificial intelligence, law, ethics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

BIP!

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