Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI
- Authors
- Ádám Nagy
- Journal
- SSRN Electronic Journal
In The Last Decade
doi.org/10.2139/ssrn.3518482 →Countries where authors are citing Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI
This map shows the geographic impact of Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI more than expected).
Fields of papers citing Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI
This network shows the impact of Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI.
About Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI
This paper, published in 2020, received 470 indexed citations . Written by Ádám Nagy covering the research area of Safety Research. It is primarily cited by scholars working on Safety Research (332 citations), Artificial Intelligence (165 citations) and Health Informatics (121 citations). Published in SSRN Electronic Journal.
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This paper is also available at doi.org/10.2139/ssrn.3518482.