| Title |
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
|
|---|---|
| Published in |
Minds and Machines, November 2018
|
| DOI | 10.1007/s11023-018-9482-5 |
| Pubmed ID | |
| Authors |
Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke, Effy Vayena |
X Demographics
The data shown below were collected from the profiles of 410 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 63 | 15% |
| United States | 36 | 9% |
| Netherlands | 17 | 4% |
| France | 15 | 4% |
| Italy | 14 | 3% |
| Germany | 10 | 2% |
| Australia | 10 | 2% |
| Switzerland | 9 | 2% |
| Canada | 9 | 2% |
| Other | 79 | 19% |
| Unknown | 148 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 309 | 75% |
| Scientists | 75 | 18% |
| Science communicators (journalists, bloggers, editors) | 14 | 3% |
| Practitioners (doctors, other healthcare professionals) | 10 | 2% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,444 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1444 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 222 | 15% |
| Student > Ph. D. Student | 178 | 12% |
| Researcher | 124 | 9% |
| Student > Bachelor | 122 | 8% |
| Student > Doctoral Student | 52 | 4% |
| Other | 203 | 14% |
| Unknown | 543 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 218 | 15% |
| Social Sciences | 147 | 10% |
| Business, Management and Accounting | 134 | 9% |
| Engineering | 59 | 4% |
| Arts and Humanities | 54 | 4% |
| Other | 233 | 16% |
| Unknown | 599 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 502. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2024.
All research outputs
#52,420
of 25,768,270 outputs
Outputs from Minds and Machines
#2
of 337 outputs
Outputs of similar age
#967
of 448,689 outputs
Outputs of similar age from Minds and Machines
#1
of 4 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 337 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 448,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them