The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
Governing Ethical AI Transformation: A Case Study of AuroraAI
|
---|---|
Published in |
Frontiers in Artificial Intelligence, February 2022
|
DOI | 10.3389/frai.2022.836557 |
Pubmed ID | |
Authors |
Jaana Leikas, Aditya Johri, Marko Latvanen, Nina Wessberg, Antti Hahto |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 13% |
Canada | 4 | 13% |
India | 2 | 6% |
Brazil | 2 | 6% |
Kenya | 1 | 3% |
Switzerland | 1 | 3% |
France | 1 | 3% |
Sweden | 1 | 3% |
Germany | 1 | 3% |
Other | 1 | 3% |
Unknown | 13 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 28 | 90% |
Scientists | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 68 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 12% |
Unspecified | 7 | 10% |
Student > Master | 7 | 10% |
Professor | 4 | 6% |
Student > Bachelor | 2 | 3% |
Other | 8 | 12% |
Unknown | 32 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 9 | 13% |
Unspecified | 7 | 10% |
Business, Management and Accounting | 5 | 7% |
Computer Science | 4 | 6% |
Engineering | 2 | 3% |
Other | 8 | 12% |
Unknown | 33 | 49% |