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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Preventing undesirable behavior of intelligent machines
|
|---|---|
| Published in |
Science, November 2019
|
| DOI | 10.1126/science.aag3311 |
| Pubmed ID | |
| Authors |
Philip S Thomas, Bruno Castro da Silva, Andrew G Barto, Stephen Giguere, Yuriy Brun, Emma Brunskill |
| Abstract |
Intelligent machines using machine learning algorithms are ubiquitous, ranging from simple data analysis and pattern recognition tools to complex systems that achieve superhuman performance on various tasks. Ensuring that they do not exhibit undesirable behavior-that they do not, for example, cause harm to humans-is therefore a pressing problem. We propose a general and flexible framework for designing machine learning algorithms. This framework simplifies the problem of specifying and regulating undesirable behavior. To show the viability of this framework, we used it to create machine learning algorithms that precluded the dangerous behavior caused by standard machine learning algorithms in our experiments. Our framework for designing machine learning algorithms simplifies the safe and responsible application of machine learning. |
X Demographics
The data shown below were collected from the profiles of 376 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 States | 69 | 18% |
| India | 13 | 3% |
| United Kingdom | 11 | 3% |
| Indonesia | 10 | 3% |
| Bangladesh | 9 | 2% |
| France | 6 | 2% |
| Germany | 5 | 1% |
| Russia | 5 | 1% |
| Italy | 4 | 1% |
| Other | 54 | 14% |
| Unknown | 190 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 313 | 83% |
| Scientists | 52 | 14% |
| Science communicators (journalists, bloggers, editors) | 6 | 2% |
| Practitioners (doctors, other healthcare professionals) | 5 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 21% |
| Researcher | 34 | 21% |
| Student > Master | 17 | 10% |
| Professor | 10 | 6% |
| Student > Bachelor | 7 | 4% |
| Other | 22 | 13% |
| Unknown | 41 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 46 | 28% |
| Agricultural and Biological Sciences | 11 | 7% |
| Engineering | 10 | 6% |
| Social Sciences | 6 | 4% |
| Mathematics | 6 | 4% |
| Other | 38 | 23% |
| Unknown | 48 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 536. 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 08 December 2023.
All research outputs
#46,805
of 25,729,842 outputs
Outputs from Science
#1,855
of 83,264 outputs
Outputs of similar age
#997
of 477,972 outputs
Outputs of similar age from Science
#37
of 854 outputs
Altmetric has tracked 25,729,842 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 83,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done particularly well, scoring higher than 97% 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 477,972 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 854 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.